{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication\Supplemental Appendix Models.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Jan 2017, 20:15:06

{com}. do "C:\Users\Jeff\AppData\Local\Temp\STD01000000.tmp"
{txt}
{com}. ***********************************Supplemental Appendix Models**************************************
. clear
{txt}
{com}. use "C:\Users\Jeff\Documents\DissertationFolder\Aid\NewMasterData.dta"
{txt}
{com}. 
. drop if dyadid==.
{txt}(0 observations deleted)

{com}. drop if year==87
{txt}(0 observations deleted)

{com}. drop if year==-99
{txt}(0 observations deleted)

{com}. xtset dyadid year
{res}{txt}{col 8}panel variable:  {res}dyadid (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1945 to 2013, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. 
. label var imposition "Sanction Imposed"
{txt}
{com}. label var sMyWNeoDummy "Sender Elite University"
{txt}
{com}. label var tMyWNeoDummy "Target Elite University"
{txt}
{com}. label var MyDyadWNeoDummy "Both Elite University" 
{txt}
{com}. label var TestMyNeoliberal "Average Elite University"
{txt}
{com}. label var MajorSenderCost "Major Sender Cost"
{txt}
{com}. label var MajorTargetCost "Major Target Cost"
{txt}
{com}. label var n_issue1 "Dispute Issues"
{txt}
{com}. label var n_sanctiontypethreat "Type of Sanction Threat"
{txt}
{com}. label var BIT "Bilateral Investment Treaty"
{txt}
{com}. label var IMF "IMF Membership"
{txt}
{com}. label var WTO "WTO Membership"
{txt}
{com}. label var jointdem "Joint Democracy"
{txt}
{com}. label var igomember "IGO Membership"
{txt}
{com}. label var lowtradedep "Interdependence"
{txt}
{com}. label var ussender "US Sender"
{txt}
{com}. label var polity21 "Sender Regime"
{txt}
{com}. label var polity22 "Target Regime"
{txt}
{com}. label var us_targetdem "US*Target Regime"
{txt}
{com}. label var alliance_r "Alliance"
{txt}
{com}. label var capratio "Capability Ratio"
{txt}
{com}. label var cwongo "Military Conflict"
{txt}
{com}. label var sEdu "Sender Executive Education"
{txt}
{com}. label var tEdu "Target Executive Education"
{txt}
{com}. label var SenderGovt "Sender Government Ideology"
{txt}
{com}. label var TargetGovt "Target Government Ideology"
{txt}
{com}. label var WBScaleGovt "Overall Ideology"
{txt}
{com}. label var AddRestrictions "Additive Restrictions"
{txt}
{com}. label var FinOpen "Financial Openness
{txt}
{com}. label var MaxEducation "Both Graduate Education"
{txt}
{com}. label var NewExecDumm2 "Shared Executive Ideology"
{txt}
{com}. label var NewP1Dummy2 "Shared Party Ideology"
{txt}
{com}. label var NewSenderIdeology "Sender Executive Ideology"
{txt}
{com}. label var NewTargetIdeology "Target Executive Ideology"
{txt}
{com}. label var SenderP1Ideology "Sender Party Ideology"
{txt}
{com}. label var TargetP1Ideology "Target Party Ideology"
{txt}
{com}. label var AveRestrictions "Average Restrictions"
{txt}
{com}. label var senderrestrictions "Sender Restrictions"
{txt}
{com}. label var targetrestrictions "Target Restrictions"
{txt}
{com}. label var senderkaopen "Sender Financial Openness"
{txt}
{com}. label var targetkaopen "Target Financial Openness"
{txt}
{com}. label var ExecThreat "Executive Threat"
{txt}
{com}. label var GovtThreat "Government Threat"
{txt}
{com}. 
. *****************Tables 6-10 Overt Threat Models************************
. ****Table 1****
. *Models 1 and 2*
. heckprob imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat_overtn= sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-518.74634}  
Iteration 1:{space 3}log pseudolikelihood = {res:-440.45463}  
Iteration 2:{space 3}log pseudolikelihood = {res:-440.20957}  
Iteration 3:{space 3}log pseudolikelihood = {res:-440.20953}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6002.0306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5392.5782}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3688.5627}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3668.3464}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3668.1866}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3668.1866}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -540.6548}  
Iteration 1:{space 3}log pseudolikelihood = {res:-435.63177}  
Iteration 2:{space 3}log pseudolikelihood = {res:-435.08701}  
Iteration 3:{space 3}log pseudolikelihood = {res: -435.0865}  
Iteration 4:{space 3}log pseudolikelihood = {res: -435.0865}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4112.664}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4104.1508}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4103.9035}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4103.2133}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4103.2117}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4103.2117}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   630850
{txt}                                                Censored obs       = {res}   630070
                                                {txt}Uncensored obs     = {res}      780

                                                {txt}Wald chi2({res}17{txt})      = {res}   219.58
{txt}Log pseudolikelihood = {res}-4103.212                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition       {txt}{c |}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .2906346{col 30}{space 2} .4217039{col 41}{space 1}    0.69{col 50}{space 3}0.491{col 58}{space 4}-.5358899{col 71}{space 3} 1.117159
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .1947009{col 30}{space 2} .4969862{col 41}{space 1}    0.39{col 50}{space 3}0.695{col 58}{space 4}-.7793742{col 71}{space 3} 1.168776
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2744233{col 30}{space 2} .3120317{col 41}{space 1}    0.88{col 50}{space 3}0.379{col 58}{space 4}-.3371476{col 71}{space 3} .8859942
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-.6049431{col 30}{space 2} .8866791{col 41}{space 1}   -0.68{col 50}{space 3}0.495{col 58}{space 4}-2.342802{col 71}{space 3} 1.132916
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .2549662{col 30}{space 2} .5775252{col 41}{space 1}    0.44{col 50}{space 3}0.659{col 58}{space 4}-.8769623{col 71}{space 3} 1.386895
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-1.083648{col 30}{space 2} .3814918{col 41}{space 1}   -2.84{col 50}{space 3}0.005{col 58}{space 4}-1.831359{col 71}{space 3}-.3359383
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .3145782{col 30}{space 2} .1695324{col 41}{space 1}    1.86{col 50}{space 3}0.064{col 58}{space 4}-.0176992{col 71}{space 3} .6468556
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.9158122{col 30}{space 2} .2274459{col 41}{space 1}   -4.03{col 50}{space 3}0.000{col 58}{space 4}-1.361598{col 71}{space 3}-.4700263
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} .7457593{col 30}{space 2} .2148159{col 41}{space 1}    3.47{col 50}{space 3}0.001{col 58}{space 4} .3247278{col 71}{space 3} 1.166791
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 14.43604{col 30}{space 2} 10.76861{col 41}{space 1}    1.34{col 50}{space 3}0.180{col 58}{space 4}-6.670043{col 71}{space 3} 35.54212
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.573296{col 30}{space 2} .2460112{col 41}{space 1}    6.40{col 50}{space 3}0.000{col 58}{space 4} 1.091123{col 71}{space 3}  2.05547
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}  .005934{col 30}{space 2} .0124522{col 41}{space 1}    0.48{col 50}{space 3}0.634{col 58}{space 4}-.0184719{col 71}{space 3} .0303399
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0445252{col 30}{space 2} .0134355{col 41}{space 1}    3.31{col 50}{space 3}0.001{col 58}{space 4} .0181922{col 71}{space 3} .0708582
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0074673{col 30}{space 2} .0171282{col 41}{space 1}    0.44{col 50}{space 3}0.663{col 58}{space 4}-.0261033{col 71}{space 3}  .041038
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .0885585{col 30}{space 2}  .177438{col 41}{space 1}    0.50{col 50}{space 3}0.618{col 58}{space 4}-.2592135{col 71}{space 3} .4363306
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.1225233{col 30}{space 2} .0389867{col 41}{space 1}   -3.14{col 50}{space 3}0.002{col 58}{space 4} -.198936{col 71}{space 3}-.0461107
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} .4089832{col 30}{space 2}   .27282{col 41}{space 1}    1.50{col 50}{space 3}0.134{col 58}{space 4}-.1257342{col 71}{space 3} .9437005
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-3.916923{col 30}{space 2} .7967577{col 41}{space 1}   -4.92{col 50}{space 3}0.000{col 58}{space 4}-5.478539{col 71}{space 3}-2.355306
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat_overtn    {txt}{c |}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.2033548{col 30}{space 2} .1332202{col 41}{space 1}   -1.53{col 50}{space 3}0.127{col 58}{space 4}-.4644616{col 71}{space 3}  .057752
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} -.374368{col 30}{space 2} .1501019{col 41}{space 1}   -2.49{col 50}{space 3}0.013{col 58}{space 4}-.6685624{col 71}{space 3}-.0801737
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .0482679{col 30}{space 2} .1539274{col 41}{space 1}    0.31{col 50}{space 3}0.754{col 58}{space 4}-.2534242{col 71}{space 3}   .34996
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} .8227525{col 30}{space 2} .2766538{col 41}{space 1}    2.97{col 50}{space 3}0.003{col 58}{space 4} .2805211{col 71}{space 3} 1.364984
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} -.092087{col 30}{space 2} .2366962{col 41}{space 1}   -0.39{col 50}{space 3}0.697{col 58}{space 4}-.5560031{col 71}{space 3}  .371829
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.2332623{col 30}{space 2} .1036446{col 41}{space 1}   -2.25{col 50}{space 3}0.024{col 58}{space 4}-.4364019{col 71}{space 3}-.0301226
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.0673258{col 30}{space 2} .0738876{col 41}{space 1}   -0.91{col 50}{space 3}0.362{col 58}{space 4}-.2121429{col 71}{space 3} .0774913
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.1073673{col 30}{space 2} .0962298{col 41}{space 1}   -1.12{col 50}{space 3}0.265{col 58}{space 4}-.2959741{col 71}{space 3} .0812396
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} .6185335{col 30}{space 2} .1400748{col 41}{space 1}    4.42{col 50}{space 3}0.000{col 58}{space 4}  .343992{col 71}{space 3}  .893075
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 10.51108{col 30}{space 2} 2.978305{col 41}{space 1}    3.53{col 50}{space 3}0.000{col 58}{space 4} 4.673706{col 71}{space 3} 16.34845
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.833756{col 30}{space 2} .1315932{col 41}{space 1}   13.94{col 50}{space 3}0.000{col 58}{space 4} 1.575838{col 71}{space 3} 2.091674
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0131992{col 30}{space 2} .0064889{col 41}{space 1}    2.03{col 50}{space 3}0.042{col 58}{space 4} .0004812{col 71}{space 3} .0259172
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0141671{col 30}{space 2} .0061281{col 41}{space 1}    2.31{col 50}{space 3}0.021{col 58}{space 4} .0021564{col 71}{space 3} .0261779
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0277629{col 30}{space 2} .0099128{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-.0471916{col 71}{space 3}-.0083342
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .2660665{col 30}{space 2} .0833393{col 41}{space 1}    3.19{col 50}{space 3}0.001{col 58}{space 4} .1027245{col 71}{space 3} .4294084
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0118485{col 30}{space 2} .0163207{col 41}{space 1}   -0.73{col 50}{space 3}0.468{col 58}{space 4}-.0438365{col 71}{space 3} .0201395
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 1.145566{col 30}{space 2} .1443137{col 41}{space 1}    7.94{col 50}{space 3}0.000{col 58}{space 4} .8627163{col 71}{space 3} 1.428416
{txt}{space 2}threat_years_o {c |}{col 18}{res}{space 2}-.1315738{col 30}{space 2} .0179504{col 41}{space 1}   -7.33{col 50}{space 3}0.000{col 58}{space 4}-.1667559{col 71}{space 3}-.0963917
{txt}{space 1}threat_years2_o {c |}{col 18}{res}{space 2} .0073858{col 30}{space 2} .0013849{col 41}{space 1}    5.33{col 50}{space 3}0.000{col 58}{space 4} .0046714{col 71}{space 3} .0101001
{txt}{space 1}threat_years3_o {c |}{col 18}{res}{space 2}-.0001337{col 30}{space 2} .0000316{col 41}{space 1}   -4.24{col 50}{space 3}0.000{col 58}{space 4}-.0001955{col 71}{space 3}-.0000718
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} -4.66337{col 30}{space 2} .4521607{col 41}{space 1}  -10.31{col 50}{space 3}0.000{col 58}{space 4}-5.549588{col 71}{space 3}-3.777151
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /athrho {c |}{col 18}{res}{space 2} .7046086{col 30}{space 2} .2588524{col 41}{space 1}    2.72{col 50}{space 3}0.006{col 58}{space 4} .1972672{col 71}{space 3}  1.21195
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             rho{col 18}{c |}{res}{space 2} .6072849{col 30}{space 2} .1633889{col 58}{space 4} .1947476{col 71}{space 3} .8372634
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    7.41   {txt}Prob > chi2 = {res}0.0065
{txt}
{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat_overtn sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6002.0306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4432.5528}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3696.8666}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3644.334}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3643.2901}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3643.2895}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3643.2895}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2510.47
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3643.2895{txt}{col 51}Pseudo R2{col 67}= {res}    0.3930

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}   threat_overtn{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.4042402{col 30}{space 2}  .333968{col 41}{space 1}   -1.21{col 50}{space 3}0.226{col 58}{space 4}-1.058805{col 71}{space 3} .2503251
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.014009{col 30}{space 2} .3857715{col 41}{space 1}   -2.63{col 50}{space 3}0.009{col 58}{space 4}-1.770107{col 71}{space 3}-.2579104
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .1381061{col 30}{space 2} .3903501{col 41}{space 1}    0.35{col 50}{space 3}0.723{col 58}{space 4}-.6269661{col 71}{space 3} .9031783
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.148859{col 30}{space 2} .7140269{col 41}{space 1}    3.01{col 50}{space 3}0.003{col 58}{space 4} .7493921{col 71}{space 3} 3.548326
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.4152533{col 30}{space 2} .5655884{col 41}{space 1}   -0.73{col 50}{space 3}0.463{col 58}{space 4}-1.523786{col 71}{space 3} .6932797
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5703628{col 30}{space 2} .3433738{col 41}{space 1}   -1.66{col 50}{space 3}0.097{col 58}{space 4}-1.243363{col 71}{space 3} .1026375
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.3473434{col 30}{space 2}  .176792{col 41}{space 1}   -1.96{col 50}{space 3}0.049{col 58}{space 4}-.6938493{col 71}{space 3}-.0008376
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.2055149{col 30}{space 2} .2661681{col 41}{space 1}   -0.77{col 50}{space 3}0.440{col 58}{space 4}-.7271948{col 71}{space 3} .3161649
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.853607{col 30}{space 2} .4485918{col 41}{space 1}    4.13{col 50}{space 3}0.000{col 58}{space 4} .9743831{col 71}{space 3} 2.732831
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 22.60301{col 30}{space 2} 6.773018{col 41}{space 1}    3.34{col 50}{space 3}0.001{col 58}{space 4} 9.328141{col 71}{space 3} 35.87788
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.891584{col 30}{space 2} .3686548{col 41}{space 1}   13.27{col 50}{space 3}0.000{col 58}{space 4} 4.169034{col 71}{space 3} 5.614134
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0409944{col 30}{space 2}   .02119{col 41}{space 1}    1.93{col 50}{space 3}0.053{col 58}{space 4}-.0005373{col 71}{space 3} .0825261
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0457516{col 30}{space 2} .0196884{col 41}{space 1}    2.32{col 50}{space 3}0.020{col 58}{space 4}  .007163{col 71}{space 3} .0843402
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0940156{col 30}{space 2}  .023537{col 41}{space 1}   -3.99{col 50}{space 3}0.000{col 58}{space 4}-.1401474{col 71}{space 3}-.0478839
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .5451965{col 30}{space 2} .2434831{col 41}{space 1}    2.24{col 50}{space 3}0.025{col 58}{space 4} .0679785{col 71}{space 3} 1.022414
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0761931{col 30}{space 2} .0489147{col 41}{space 1}   -1.56{col 50}{space 3}0.119{col 58}{space 4}-.1720641{col 71}{space 3} .0196778
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.453114{col 30}{space 2}  .569593{col 41}{space 1}    4.31{col 50}{space 3}0.000{col 58}{space 4} 1.336732{col 71}{space 3} 3.569496
{txt}{space 2}threat_years_o {c |}{col 18}{res}{space 2}-.3353325{col 30}{space 2} .0492297{col 41}{space 1}   -6.81{col 50}{space 3}0.000{col 58}{space 4}-.4318209{col 71}{space 3}-.2388441
{txt}{space 1}threat_years2_o {c |}{col 18}{res}{space 2} .0192356{col 30}{space 2} .0037702{col 41}{space 1}    5.10{col 50}{space 3}0.000{col 58}{space 4} .0118463{col 71}{space 3}  .026625
{txt}{space 1}threat_years3_o {c |}{col 18}{res}{space 2}-.0003542{col 30}{space 2} .0000856{col 41}{space 1}   -4.14{col 50}{space 3}0.000{col 58}{space 4} -.000522{col 71}{space 3}-.0001865
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-12.04818{col 30}{space 2} 1.489625{col 41}{space 1}   -8.09{col 50}{space 3}0.000{col 58}{space 4}-14.96779{col 71}{space 3}-9.128564
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat_overtn sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6002.0306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4432.5528}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3696.8666}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3644.334}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3643.2901}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3643.2895}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3643.2895}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2510.47
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3643.2895{txt}{col 51}Pseudo R2{col 67}= {res}    0.3930

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}   threat_overtn{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.4042402{col 30}{space 2}  .333968{col 41}{space 1}   -1.21{col 50}{space 3}0.226{col 58}{space 4}-1.058805{col 71}{space 3} .2503251
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.014009{col 30}{space 2} .3857715{col 41}{space 1}   -2.63{col 50}{space 3}0.009{col 58}{space 4}-1.770107{col 71}{space 3}-.2579104
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .1381061{col 30}{space 2} .3903501{col 41}{space 1}    0.35{col 50}{space 3}0.723{col 58}{space 4}-.6269661{col 71}{space 3} .9031783
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.148859{col 30}{space 2} .7140269{col 41}{space 1}    3.01{col 50}{space 3}0.003{col 58}{space 4} .7493921{col 71}{space 3} 3.548326
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.4152533{col 30}{space 2} .5655884{col 41}{space 1}   -0.73{col 50}{space 3}0.463{col 58}{space 4}-1.523786{col 71}{space 3} .6932797
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5703628{col 30}{space 2} .3433738{col 41}{space 1}   -1.66{col 50}{space 3}0.097{col 58}{space 4}-1.243363{col 71}{space 3} .1026375
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.3473434{col 30}{space 2}  .176792{col 41}{space 1}   -1.96{col 50}{space 3}0.049{col 58}{space 4}-.6938493{col 71}{space 3}-.0008376
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.2055149{col 30}{space 2} .2661681{col 41}{space 1}   -0.77{col 50}{space 3}0.440{col 58}{space 4}-.7271948{col 71}{space 3} .3161649
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.853607{col 30}{space 2} .4485918{col 41}{space 1}    4.13{col 50}{space 3}0.000{col 58}{space 4} .9743831{col 71}{space 3} 2.732831
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 22.60301{col 30}{space 2} 6.773018{col 41}{space 1}    3.34{col 50}{space 3}0.001{col 58}{space 4} 9.328141{col 71}{space 3} 35.87788
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.891584{col 30}{space 2} .3686548{col 41}{space 1}   13.27{col 50}{space 3}0.000{col 58}{space 4} 4.169034{col 71}{space 3} 5.614134
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0409944{col 30}{space 2}   .02119{col 41}{space 1}    1.93{col 50}{space 3}0.053{col 58}{space 4}-.0005373{col 71}{space 3} .0825261
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0457516{col 30}{space 2} .0196884{col 41}{space 1}    2.32{col 50}{space 3}0.020{col 58}{space 4}  .007163{col 71}{space 3} .0843402
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0940156{col 30}{space 2}  .023537{col 41}{space 1}   -3.99{col 50}{space 3}0.000{col 58}{space 4}-.1401474{col 71}{space 3}-.0478839
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .5451965{col 30}{space 2} .2434831{col 41}{space 1}    2.24{col 50}{space 3}0.025{col 58}{space 4} .0679785{col 71}{space 3} 1.022414
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0761931{col 30}{space 2} .0489147{col 41}{space 1}   -1.56{col 50}{space 3}0.119{col 58}{space 4}-.1720641{col 71}{space 3} .0196778
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.453114{col 30}{space 2}  .569593{col 41}{space 1}    4.31{col 50}{space 3}0.000{col 58}{space 4} 1.336732{col 71}{space 3} 3.569496
{txt}{space 2}threat_years_o {c |}{col 18}{res}{space 2}-.3353325{col 30}{space 2} .0492297{col 41}{space 1}   -6.81{col 50}{space 3}0.000{col 58}{space 4}-.4318209{col 71}{space 3}-.2388441
{txt}{space 1}threat_years2_o {c |}{col 18}{res}{space 2} .0192356{col 30}{space 2} .0037702{col 41}{space 1}    5.10{col 50}{space 3}0.000{col 58}{space 4} .0118463{col 71}{space 3}  .026625
{txt}{space 1}threat_years3_o {c |}{col 18}{res}{space 2}-.0003542{col 30}{space 2} .0000856{col 41}{space 1}   -4.14{col 50}{space 3}0.000{col 58}{space 4} -.000522{col 71}{space 3}-.0001865
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-12.04818{col 30}{space 2} 1.489625{col 41}{space 1}   -8.09{col 50}{space 3}0.000{col 58}{space 4}-14.96779{col 71}{space 3}-9.128564
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 6
. logit ExecImp sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-280.05045}  
Iteration 1:{space 3}log pseudolikelihood = {res:-188.62425}  
Iteration 2:{space 3}log pseudolikelihood = {res:-164.61197}  
Iteration 3:{space 3}log pseudolikelihood = {res:-159.17643}  
Iteration 4:{space 3}log pseudolikelihood = {res:-158.72494}  
Iteration 5:{space 3}log pseudolikelihood = {res:-158.71692}  
Iteration 6:{space 3}log pseudolikelihood = {res:-158.71691}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       618
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}     59.40
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-158.71691{txt}{col 51}Pseudo R2{col 67}= {res}    0.4333

{txt}{ralign 92:(Std. Err. adjusted for {res:206} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2}-.8416952{col 40}{space 2} 1.005777{col 51}{space 1}   -0.84{col 60}{space 3}0.403{col 68}{space 4}-2.812981{col 81}{space 3} 1.129591
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2} .7812279{col 40}{space 2} 1.097395{col 51}{space 1}    0.71{col 60}{space 3}0.477{col 68}{space 4}-1.369628{col 81}{space 3} 2.932084
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2} .5471168{col 40}{space 2} 1.409221{col 51}{space 1}    0.39{col 60}{space 3}0.698{col 68}{space 4}-2.214906{col 81}{space 3}  3.30914
{txt}{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2}  .745697{col 40}{space 2} 2.089679{col 51}{space 1}    0.36{col 60}{space 3}0.721{col 68}{space 4}-3.349999{col 81}{space 3} 4.841393
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.489031{col 40}{space 2} 1.166436{col 51}{space 1}    2.13{col 60}{space 3}0.033{col 68}{space 4} .2028587{col 81}{space 3} 4.775203
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .4608646{col 40}{space 2} .7561828{col 51}{space 1}    0.61{col 60}{space 3}0.542{col 68}{space 4}-1.021227{col 81}{space 3} 1.942956
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.192652{col 40}{space 2} 1.045485{col 51}{space 1}   -1.14{col 60}{space 3}0.254{col 68}{space 4}-3.241765{col 81}{space 3} .8564598
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.034102{col 40}{space 2} .9353164{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4}-4.867289{col 81}{space 3}-1.200916
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.711063{col 40}{space 2} 1.206624{col 51}{space 1}   -1.42{col 60}{space 3}0.156{col 68}{space 4}-4.076003{col 81}{space 3} .6538775
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.126711{col 40}{space 2} .8882245{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-.6141767{col 81}{space 3} 2.867599
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0147449{col 40}{space 2} .0775163{col 51}{space 1}    0.19{col 60}{space 3}0.849{col 68}{space 4}-.1371842{col 81}{space 3} .1666741
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0297847{col 40}{space 2} .1208477{col 51}{space 1}    0.25{col 60}{space 3}0.805{col 68}{space 4}-.2070724{col 81}{space 3} .2666419
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.2328549{col 40}{space 2} 1.059257{col 51}{space 1}   -0.22{col 60}{space 3}0.826{col 68}{space 4} -2.30896{col 81}{space 3}  1.84325
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.8441279{col 40}{space 2}  1.19225{col 51}{space 1}   -0.71{col 60}{space 3}0.479{col 68}{space 4}-3.180894{col 81}{space 3} 1.492638
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.153579{col 40}{space 2} 1.136175{col 51}{space 1}    1.90{col 60}{space 3}0.058{col 68}{space 4}-.0732825{col 81}{space 3}  4.38044
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.651967{col 40}{space 2} 1.082494{col 51}{space 1}    1.53{col 60}{space 3}0.127{col 68}{space 4}-.4696821{col 81}{space 3} 3.773615
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-261.5575{col 40}{space 2} 260.4625{col 51}{space 1}   -1.00{col 60}{space 3}0.315{col 68}{space 4}-772.0547{col 81}{space 3} 248.9396
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.2234714{col 40}{space 2} 1.022118{col 51}{space 1}   -0.22{col 60}{space 3}0.827{col 68}{space 4}-2.226787{col 81}{space 3} 1.779844
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .2013653{col 40}{space 2} .1382225{col 51}{space 1}    1.46{col 60}{space 3}0.145{col 68}{space 4}-.0695457{col 81}{space 3} .4722763
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0966578{col 40}{space 2}  .089351{col 51}{space 1}   -1.08{col 60}{space 3}0.279{col 68}{space 4}-.2717825{col 81}{space 3} .0784669
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0600412{col 40}{space 2}  .082014{col 51}{space 1}   -0.73{col 60}{space 3}0.464{col 68}{space 4}-.2207857{col 81}{space 3} .1007034
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .2032086{col 40}{space 2} .7156701{col 51}{space 1}    0.28{col 60}{space 3}0.776{col 68}{space 4}-1.199479{col 81}{space 3} 1.605896
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2745304{col 40}{space 2} .1425335{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4}-.0048302{col 81}{space 3}  .553891
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.6715412{col 40}{space 2}  .724885{col 51}{space 1}   -0.93{col 60}{space 3}0.354{col 68}{space 4} -2.09229{col 81}{space 3} .7492072
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-10.09829{col 40}{space 2}  3.22471{col 51}{space 1}   -3.13{col 60}{space 3}0.002{col 68}{space 4}-16.41861{col 81}{space 3}-3.777977
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat_overtn sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6002.0306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4432.5528}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3696.8666}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3644.334}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3643.2901}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3643.2895}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3643.2895}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2510.47
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3643.2895{txt}{col 51}Pseudo R2{col 67}= {res}    0.3930

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}   threat_overtn{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.4042402{col 30}{space 2}  .333968{col 41}{space 1}   -1.21{col 50}{space 3}0.226{col 58}{space 4}-1.058805{col 71}{space 3} .2503251
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.014009{col 30}{space 2} .3857715{col 41}{space 1}   -2.63{col 50}{space 3}0.009{col 58}{space 4}-1.770107{col 71}{space 3}-.2579104
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .1381061{col 30}{space 2} .3903501{col 41}{space 1}    0.35{col 50}{space 3}0.723{col 58}{space 4}-.6269661{col 71}{space 3} .9031783
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.148859{col 30}{space 2} .7140269{col 41}{space 1}    3.01{col 50}{space 3}0.003{col 58}{space 4} .7493921{col 71}{space 3} 3.548326
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.4152533{col 30}{space 2} .5655884{col 41}{space 1}   -0.73{col 50}{space 3}0.463{col 58}{space 4}-1.523786{col 71}{space 3} .6932797
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5703628{col 30}{space 2} .3433738{col 41}{space 1}   -1.66{col 50}{space 3}0.097{col 58}{space 4}-1.243363{col 71}{space 3} .1026375
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.3473434{col 30}{space 2}  .176792{col 41}{space 1}   -1.96{col 50}{space 3}0.049{col 58}{space 4}-.6938493{col 71}{space 3}-.0008376
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.2055149{col 30}{space 2} .2661681{col 41}{space 1}   -0.77{col 50}{space 3}0.440{col 58}{space 4}-.7271948{col 71}{space 3} .3161649
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.853607{col 30}{space 2} .4485918{col 41}{space 1}    4.13{col 50}{space 3}0.000{col 58}{space 4} .9743831{col 71}{space 3} 2.732831
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 22.60301{col 30}{space 2} 6.773018{col 41}{space 1}    3.34{col 50}{space 3}0.001{col 58}{space 4} 9.328141{col 71}{space 3} 35.87788
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.891584{col 30}{space 2} .3686548{col 41}{space 1}   13.27{col 50}{space 3}0.000{col 58}{space 4} 4.169034{col 71}{space 3} 5.614134
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0409944{col 30}{space 2}   .02119{col 41}{space 1}    1.93{col 50}{space 3}0.053{col 58}{space 4}-.0005373{col 71}{space 3} .0825261
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0457516{col 30}{space 2} .0196884{col 41}{space 1}    2.32{col 50}{space 3}0.020{col 58}{space 4}  .007163{col 71}{space 3} .0843402
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0940156{col 30}{space 2}  .023537{col 41}{space 1}   -3.99{col 50}{space 3}0.000{col 58}{space 4}-.1401474{col 71}{space 3}-.0478839
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .5451965{col 30}{space 2} .2434831{col 41}{space 1}    2.24{col 50}{space 3}0.025{col 58}{space 4} .0679785{col 71}{space 3} 1.022414
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0761931{col 30}{space 2} .0489147{col 41}{space 1}   -1.56{col 50}{space 3}0.119{col 58}{space 4}-.1720641{col 71}{space 3} .0196778
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.453114{col 30}{space 2}  .569593{col 41}{space 1}    4.31{col 50}{space 3}0.000{col 58}{space 4} 1.336732{col 71}{space 3} 3.569496
{txt}{space 2}threat_years_o {c |}{col 18}{res}{space 2}-.3353325{col 30}{space 2} .0492297{col 41}{space 1}   -6.81{col 50}{space 3}0.000{col 58}{space 4}-.4318209{col 71}{space 3}-.2388441
{txt}{space 1}threat_years2_o {c |}{col 18}{res}{space 2} .0192356{col 30}{space 2} .0037702{col 41}{space 1}    5.10{col 50}{space 3}0.000{col 58}{space 4} .0118463{col 71}{space 3}  .026625
{txt}{space 1}threat_years3_o {c |}{col 18}{res}{space 2}-.0003542{col 30}{space 2} .0000856{col 41}{space 1}   -4.14{col 50}{space 3}0.000{col 58}{space 4} -.000522{col 71}{space 3}-.0001865
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-12.04818{col 30}{space 2} 1.489625{col 41}{space 1}   -8.09{col 50}{space 3}0.000{col 58}{space 4}-14.96779{col 71}{space 3}-9.128564
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: MyDyadWNeoDummy != 0 predicts failure perfectly
      MyDyadWNeoDummy dropped and 19 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-348.64371}  
Iteration 1:{space 3}log pseudolikelihood = {res:-260.60326}  
Iteration 2:{space 3}log pseudolikelihood = {res:-254.64676}  
Iteration 3:{space 3}log pseudolikelihood = {res:-254.50117}  
Iteration 4:{space 3}log pseudolikelihood = {res:-254.50096}  
Iteration 5:{space 3}log pseudolikelihood = {res:-254.50096}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       599
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     72.32
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-254.50096{txt}{col 51}Pseudo R2{col 67}= {res}    0.2700

{txt}{ralign 92:(Std. Err. adjusted for {res:202} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2} -1.49592{col 40}{space 2} .9923897{col 51}{space 1}   -1.51{col 60}{space 3}0.132{col 68}{space 4}-3.440968{col 81}{space 3} .4491282
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2}-.4732835{col 40}{space 2} 1.019902{col 51}{space 1}   -0.46{col 60}{space 3}0.643{col 68}{space 4}-2.472254{col 81}{space 3} 1.525687
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2}  1.63451{col 40}{space 2} 1.762232{col 51}{space 1}    0.93{col 60}{space 3}0.354{col 68}{space 4}-1.819401{col 81}{space 3}  5.08842
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.173688{col 40}{space 2} 1.021907{col 51}{space 1}   -1.15{col 60}{space 3}0.251{col 68}{space 4}-3.176589{col 81}{space 3} .8292141
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .0596061{col 40}{space 2} .5070276{col 51}{space 1}    0.12{col 60}{space 3}0.906{col 68}{space 4}-.9341498{col 81}{space 3} 1.053362
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.023041{col 40}{space 2} .8585682{col 51}{space 1}    2.36{col 60}{space 3}0.018{col 68}{space 4} .3402786{col 81}{space 3} 3.705804
{txt}{space 24}3  {c |}{col 28}{res}{space 2}  .547185{col 40}{space 2} .6191004{col 51}{space 1}    0.88{col 60}{space 3}0.377{col 68}{space 4}-.6662294{col 81}{space 3} 1.760599
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.309217{col 40}{space 2} 1.018898{col 51}{space 1}    3.25{col 60}{space 3}0.001{col 68}{space 4} 1.312213{col 81}{space 3}  5.30622
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.5048273{col 40}{space 2} .8185477{col 51}{space 1}   -0.62{col 60}{space 3}0.537{col 68}{space 4}-2.109151{col 81}{space 3} 1.099497
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0996587{col 40}{space 2} .0774382{col 51}{space 1}   -1.29{col 60}{space 3}0.198{col 68}{space 4}-.2514349{col 81}{space 3} .0521174
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.1003395{col 40}{space 2} .1010361{col 51}{space 1}   -0.99{col 60}{space 3}0.321{col 68}{space 4}-.2983666{col 81}{space 3} .0976876
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .4745108{col 40}{space 2} .7026396{col 51}{space 1}    0.68{col 60}{space 3}0.499{col 68}{space 4}-.9026376{col 81}{space 3} 1.851659
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .3644842{col 40}{space 2} .5639608{col 51}{space 1}    0.65{col 60}{space 3}0.518{col 68}{space 4}-.7408586{col 81}{space 3} 1.469827
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .8241259{col 40}{space 2} .7528257{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-.6513854{col 81}{space 3} 2.299637
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.4161206{col 40}{space 2}   .58248{col 51}{space 1}   -0.71{col 60}{space 3}0.475{col 68}{space 4} -1.55776{col 81}{space 3} .7255192
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}  -.78752{col 40}{space 2} 27.16346{col 51}{space 1}   -0.03{col 60}{space 3}0.977{col 68}{space 4}-54.02693{col 81}{space 3} 52.45189
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.813363{col 40}{space 2} .4583915{col 51}{space 1}   -3.96{col 60}{space 3}0.000{col 68}{space 4}-2.711794{col 81}{space 3}-.9149318
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0743113{col 40}{space 2}  .044115{col 51}{space 1}   -1.68{col 60}{space 3}0.092{col 68}{space 4} -.160775{col 81}{space 3} .0121524
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0219018{col 40}{space 2} .0460831{col 51}{space 1}   -0.48{col 60}{space 3}0.635{col 68}{space 4}-.1122231{col 81}{space 3} .0684194
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0457692{col 40}{space 2} .0591023{col 51}{space 1}   -0.77{col 60}{space 3}0.439{col 68}{space 4}-.1616074{col 81}{space 3} .0700691
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} -.538658{col 40}{space 2} .4587878{col 51}{space 1}   -1.17{col 60}{space 3}0.240{col 68}{space 4}-1.437866{col 81}{space 3} .3605495
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .3088287{col 40}{space 2}  .090259{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} .1319243{col 81}{space 3} .4857331
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.0921743{col 40}{space 2} .5773085{col 51}{space 1}   -0.16{col 60}{space 3}0.873{col 68}{space 4}-1.223678{col 81}{space 3}  1.03933
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.662215{col 40}{space 2} 1.841527{col 51}{space 1}    0.90{col 60}{space 3}0.367{col 68}{space 4}-1.947112{col 81}{space 3} 5.271542
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 2****
. *Models 1 and 2*
. heckprob imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat_overtn=sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-561.57275}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.25946}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.9795}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.97946}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6464.9701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5722.0606}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3940.2021}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3916.3798}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3916.1862}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3916.1862}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-585.70937}  
Iteration 1:{space 3}log pseudolikelihood = {res:-468.32994}  
Iteration 2:{space 3}log pseudolikelihood = {res:-467.76937}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -467.769}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -467.769}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4387.3133}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4383.8999}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4383.8651}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4383.8003}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4383.7988}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4383.7988}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   653982
{txt}                                                Censored obs       = {res}   653137
                                                {txt}Uncensored obs     = {res}      845

                                                {txt}Wald chi2({res}15{txt})      = {res}   198.73
{txt}Log pseudolikelihood = {res}-4383.799                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.4302161{col 29}{space 2} .1054013{col 40}{space 1}   -4.08{col 49}{space 3}0.000{col 57}{space 4}-.6367988{col 70}{space 3}-.2236334
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.1041371{col 29}{space 2} .0965855{col 40}{space 1}   -1.08{col 49}{space 3}0.281{col 57}{space 4}-.2934412{col 70}{space 3} .0851671
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6798322{col 29}{space 2} .5231871{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4}-.3455957{col 70}{space 3}  1.70526
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-1.139665{col 29}{space 2} .4073118{col 40}{space 1}   -2.80{col 49}{space 3}0.005{col 57}{space 4}-1.937982{col 70}{space 3}-.3413491
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}  .422969{col 29}{space 2}  .168106{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .0934873{col 70}{space 3} .7524508
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.9558583{col 29}{space 2} .2347297{col 40}{space 1}   -4.07{col 49}{space 3}0.000{col 57}{space 4} -1.41592{col 70}{space 3}-.4957967
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7530402{col 29}{space 2} .2351846{col 40}{space 1}    3.20{col 49}{space 3}0.001{col 57}{space 4} .2920868{col 70}{space 3} 1.213994
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 12.21434{col 29}{space 2} 9.708529{col 40}{space 1}    1.26{col 49}{space 3}0.208{col 57}{space 4}-6.814029{col 70}{space 3} 31.24271
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.558013{col 29}{space 2} .3096804{col 40}{space 1}    5.03{col 49}{space 3}0.000{col 57}{space 4} .9510503{col 70}{space 3} 2.164975
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0095881{col 29}{space 2} .0137677{col 40}{space 1}    0.70{col 49}{space 3}0.486{col 57}{space 4}-.0173961{col 70}{space 3} .0365724
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0473396{col 29}{space 2} .0148844{col 40}{space 1}    3.18{col 49}{space 3}0.001{col 57}{space 4} .0181666{col 70}{space 3} .0765125
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0145254{col 29}{space 2} .0172934{col 40}{space 1}    0.84{col 49}{space 3}0.401{col 57}{space 4} -.019369{col 70}{space 3} .0484198
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .1140796{col 29}{space 2} .1739467{col 40}{space 1}    0.66{col 49}{space 3}0.512{col 57}{space 4}-.2268497{col 70}{space 3} .4550089
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} -.127384{col 29}{space 2} .0392453{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4}-.2043034{col 70}{space 3}-.0504646
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .4439308{col 29}{space 2} .2888323{col 40}{space 1}    1.54{col 49}{space 3}0.124{col 57}{space 4}-.1221702{col 70}{space 3} 1.010032
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.571857{col 29}{space 2} .9853282{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4}-5.503065{col 70}{space 3}-1.640649
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat_overtn   {txt}{c |}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.1371669{col 29}{space 2} .0456065{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4} -.226554{col 70}{space 3}-.0477799
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.0780143{col 29}{space 2} .0460694{col 40}{space 1}   -1.69{col 49}{space 3}0.090{col 57}{space 4}-.1683087{col 70}{space 3} .0122801
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0354324{col 29}{space 2} .2077802{col 40}{space 1}   -0.17{col 49}{space 3}0.865{col 57}{space 4}-.4426742{col 70}{space 3} .3718094
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.2182941{col 29}{space 2} .1037193{col 40}{space 1}   -2.10{col 49}{space 3}0.035{col 57}{space 4}-.4215802{col 70}{space 3}-.0150081
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0543367{col 29}{space 2} .0707448{col 40}{space 1}   -0.77{col 49}{space 3}0.442{col 57}{space 4} -.192994{col 70}{space 3} .0843207
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1124685{col 29}{space 2} .0981851{col 40}{space 1}   -1.15{col 49}{space 3}0.252{col 57}{space 4}-.3049076{col 70}{space 3} .0799707
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6322706{col 29}{space 2} .1485869{col 40}{space 1}    4.26{col 49}{space 3}0.000{col 57}{space 4} .3410456{col 70}{space 3} .9234955
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  10.6381{col 29}{space 2} 3.014984{col 40}{space 1}    3.53{col 49}{space 3}0.000{col 57}{space 4} 4.728841{col 70}{space 3} 16.54736
{txt}{space 7}ussender {c |}{col 17}{res}{space 2}  1.92801{col 29}{space 2} .1302016{col 40}{space 1}   14.81{col 49}{space 3}0.000{col 57}{space 4}  1.67282{col 70}{space 3}   2.1832
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0176629{col 29}{space 2} .0067217{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .0044885{col 70}{space 3} .0308373
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0156333{col 29}{space 2} .0061102{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} .0036575{col 70}{space 3} .0276091
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} -.022181{col 29}{space 2} .0095115{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-.0408233{col 70}{space 3}-.0035387
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2619812{col 29}{space 2} .0851814{col 40}{space 1}    3.08{col 49}{space 3}0.002{col 57}{space 4} .0950288{col 70}{space 3} .4289336
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0155606{col 29}{space 2} .0161299{col 40}{space 1}   -0.96{col 49}{space 3}0.335{col 57}{space 4}-.0471747{col 70}{space 3} .0160535
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.139514{col 29}{space 2} .1375382{col 40}{space 1}    8.29{col 49}{space 3}0.000{col 57}{space 4} .8699442{col 70}{space 3} 1.409084
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.1304095{col 29}{space 2}  .016903{col 40}{space 1}   -7.72{col 49}{space 3}0.000{col 57}{space 4}-.1635388{col 70}{space 3}-.0972802
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0075055{col 29}{space 2} .0013226{col 40}{space 1}    5.67{col 49}{space 3}0.000{col 57}{space 4} .0049133{col 70}{space 3} .0100978
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0001357{col 29}{space 2} .0000302{col 40}{space 1}   -4.50{col 49}{space 3}0.000{col 57}{space 4}-.0001948{col 70}{space 3}-.0000765
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.639925{col 29}{space 2} .4992025{col 40}{space 1}   -9.29{col 49}{space 3}0.000{col 57}{space 4}-5.618344{col 70}{space 3}-3.661506
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .6183543{col 29}{space 2} .2874307{col 40}{space 1}    2.15{col 49}{space 3}0.031{col 57}{space 4} .0550005{col 70}{space 3} 1.181708
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .5499812{col 29}{space 2} .2004889{col 57}{space 4} .0549451{col 70}{space 3} .8279895
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    4.63   {txt}Prob > chi2 = {res}0.0315
{txt}
{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 3
. logit threat_overtn sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6464.9701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4783.2496}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3945.5166}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3894.9722}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3893.7961}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3893.7892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3893.7892}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2641.72
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3893.7892{txt}{col 51}Pseudo R2{col 67}= {res}    0.3977

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.3920717{col 29}{space 2} .1333917{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}-.6535147{col 70}{space 3}-.1306288
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.1615635{col 29}{space 2} .1302156{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4}-.4167814{col 70}{space 3} .0936544
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1606834{col 29}{space 2} .5011745{col 40}{space 1}   -0.32{col 49}{space 3}0.749{col 57}{space 4}-1.142967{col 70}{space 3} .8216006
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} -.502112{col 29}{space 2} .3370001{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4} -1.16262{col 70}{space 3}  .158396
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1497355{col 29}{space 2} .1780865{col 40}{space 1}   -0.84{col 49}{space 3}0.400{col 57}{space 4}-.4987787{col 70}{space 3} .1993077
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2735785{col 29}{space 2} .2693387{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-.8014727{col 70}{space 3} .2543158
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.969815{col 29}{space 2} .4768682{col 40}{space 1}    4.13{col 49}{space 3}0.000{col 57}{space 4} 1.035171{col 70}{space 3}  2.90446
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 22.30717{col 29}{space 2} 6.515191{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} 9.537629{col 70}{space 3} 35.07671
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.130049{col 29}{space 2} .3577087{col 40}{space 1}   14.34{col 49}{space 3}0.000{col 57}{space 4} 4.428953{col 70}{space 3} 5.831145
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0540147{col 29}{space 2}  .021729{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} .0114266{col 70}{space 3} .0966028
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0481366{col 29}{space 2} .0196644{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4}  .009595{col 70}{space 3} .0866782
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0797473{col 29}{space 2} .0228999{col 40}{space 1}   -3.48{col 49}{space 3}0.000{col 57}{space 4}-.1246303{col 70}{space 3}-.0348643
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4762741{col 29}{space 2} .2428486{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4} .0002995{col 70}{space 3} .9522486
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0823693{col 29}{space 2} .0476213{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.1757052{col 70}{space 3} .0109667
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.473293{col 29}{space 2} .5244335{col 40}{space 1}    4.72{col 49}{space 3}0.000{col 57}{space 4} 1.445423{col 70}{space 3} 3.501164
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.3507957{col 29}{space 2} .0444444{col 40}{space 1}   -7.89{col 49}{space 3}0.000{col 57}{space 4}-.4379051{col 70}{space 3}-.2636863
{txt}threat_years2_o {c |}{col 17}{res}{space 2}   .02085{col 29}{space 2} .0035854{col 40}{space 1}    5.82{col 49}{space 3}0.000{col 57}{space 4} .0138227{col 70}{space 3} .0278772
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0003849{col 29}{space 2} .0000825{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4}-.0005466{col 70}{space 3}-.0002232
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-12.21363{col 29}{space 2} 1.649086{col 40}{space 1}   -7.41{col 49}{space 3}0.000{col 57}{space 4}-15.44578{col 70}{space 3}-8.981487
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat_overtn sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6464.9701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4783.2496}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3945.5166}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3894.9722}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3893.7961}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3893.7892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3893.7892}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2641.72
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3893.7892{txt}{col 51}Pseudo R2{col 67}= {res}    0.3977

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.3920717{col 29}{space 2} .1333917{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}-.6535147{col 70}{space 3}-.1306288
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.1615635{col 29}{space 2} .1302156{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4}-.4167814{col 70}{space 3} .0936544
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1606834{col 29}{space 2} .5011745{col 40}{space 1}   -0.32{col 49}{space 3}0.749{col 57}{space 4}-1.142967{col 70}{space 3} .8216006
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} -.502112{col 29}{space 2} .3370001{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4} -1.16262{col 70}{space 3}  .158396
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1497355{col 29}{space 2} .1780865{col 40}{space 1}   -0.84{col 49}{space 3}0.400{col 57}{space 4}-.4987787{col 70}{space 3} .1993077
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2735785{col 29}{space 2} .2693387{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-.8014727{col 70}{space 3} .2543158
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.969815{col 29}{space 2} .4768682{col 40}{space 1}    4.13{col 49}{space 3}0.000{col 57}{space 4} 1.035171{col 70}{space 3}  2.90446
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 22.30717{col 29}{space 2} 6.515191{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} 9.537629{col 70}{space 3} 35.07671
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.130049{col 29}{space 2} .3577087{col 40}{space 1}   14.34{col 49}{space 3}0.000{col 57}{space 4} 4.428953{col 70}{space 3} 5.831145
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0540147{col 29}{space 2}  .021729{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} .0114266{col 70}{space 3} .0966028
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0481366{col 29}{space 2} .0196644{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4}  .009595{col 70}{space 3} .0866782
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0797473{col 29}{space 2} .0228999{col 40}{space 1}   -3.48{col 49}{space 3}0.000{col 57}{space 4}-.1246303{col 70}{space 3}-.0348643
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4762741{col 29}{space 2} .2428486{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4} .0002995{col 70}{space 3} .9522486
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0823693{col 29}{space 2} .0476213{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.1757052{col 70}{space 3} .0109667
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.473293{col 29}{space 2} .5244335{col 40}{space 1}    4.72{col 49}{space 3}0.000{col 57}{space 4} 1.445423{col 70}{space 3} 3.501164
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.3507957{col 29}{space 2} .0444444{col 40}{space 1}   -7.89{col 49}{space 3}0.000{col 57}{space 4}-.4379051{col 70}{space 3}-.2636863
{txt}threat_years2_o {c |}{col 17}{res}{space 2}   .02085{col 29}{space 2} .0035854{col 40}{space 1}    5.82{col 49}{space 3}0.000{col 57}{space 4} .0138227{col 70}{space 3} .0278772
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0003849{col 29}{space 2} .0000825{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4}-.0005466{col 70}{space 3}-.0002232
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-12.21363{col 29}{space 2} 1.649086{col 40}{space 1}   -7.41{col 49}{space 3}0.000{col 57}{space 4}-15.44578{col 70}{space 3}-8.981487
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-293.19782}  
Iteration 1:{space 3}log pseudolikelihood = {res:-202.61499}  
Iteration 2:{space 3}log pseudolikelihood = {res: -177.7866}  
Iteration 3:{space 3}log pseudolikelihood = {res:-172.23745}  
Iteration 4:{space 3}log pseudolikelihood = {res:-171.73828}  
Iteration 5:{space 3}log pseudolikelihood = {res:-171.72891}  
Iteration 6:{space 3}log pseudolikelihood = {res:-171.72891}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       664
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     70.70
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-171.72891{txt}{col 51}Pseudo R2{col 67}= {res}    0.4143

{txt}{ralign 92:(Std. Err. adjusted for {res:213} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2} .0211553{col 40}{space 2}  .414848{col 51}{space 1}    0.05{col 60}{space 3}0.959{col 68}{space 4}-.7919319{col 81}{space 3} .8342424
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2}-.2676008{col 40}{space 2} .3787809{col 51}{space 1}   -0.71{col 60}{space 3}0.480{col 68}{space 4}-1.009998{col 81}{space 3} .4747961
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.918489{col 40}{space 2} 1.101672{col 51}{space 1}    2.65{col 60}{space 3}0.008{col 68}{space 4} .7592519{col 81}{space 3} 5.077726
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .1122628{col 40}{space 2} .7466218{col 51}{space 1}    0.15{col 60}{space 3}0.880{col 68}{space 4}-1.351089{col 81}{space 3} 1.575615
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.229539{col 40}{space 2}  1.12724{col 51}{space 1}   -1.09{col 60}{space 3}0.275{col 68}{space 4}-3.438889{col 81}{space 3} .9798119
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.763238{col 40}{space 2} .7859427{col 51}{space 1}   -3.52{col 60}{space 3}0.000{col 68}{space 4}-4.303658{col 81}{space 3}-1.222819
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.469059{col 40}{space 2} 1.128235{col 51}{space 1}   -1.30{col 60}{space 3}0.193{col 68}{space 4}-3.680359{col 81}{space 3} .7422412
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  1.38494{col 40}{space 2}  .866379{col 51}{space 1}    1.60{col 60}{space 3}0.110{col 68}{space 4}-.3131312{col 81}{space 3} 3.083012
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0003331{col 40}{space 2} .0780134{col 51}{space 1}    0.00{col 60}{space 3}0.997{col 68}{space 4}-.1525704{col 81}{space 3} .1532365
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0421016{col 40}{space 2} .1225805{col 51}{space 1}    0.34{col 60}{space 3}0.731{col 68}{space 4}-.1981517{col 81}{space 3}  .282355
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.2248256{col 40}{space 2} 1.206136{col 51}{space 1}   -0.19{col 60}{space 3}0.852{col 68}{space 4}-2.588808{col 81}{space 3} 2.139157
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.8463497{col 40}{space 2} 1.051553{col 51}{space 1}   -0.80{col 60}{space 3}0.421{col 68}{space 4}-2.907355{col 81}{space 3} 1.214656
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}  2.38115{col 40}{space 2} 1.016993{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .3878802{col 81}{space 3} 4.374419
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.267345{col 40}{space 2} .8387596{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-.3765937{col 81}{space 3} 2.911284
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-230.0347{col 40}{space 2} 249.7889{col 51}{space 1}   -0.92{col 60}{space 3}0.357{col 68}{space 4} -719.612{col 81}{space 3} 259.5426
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.3585476{col 40}{space 2} .8974831{col 51}{space 1}   -0.40{col 60}{space 3}0.690{col 68}{space 4}-2.117582{col 81}{space 3} 1.400487
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1991515{col 40}{space 2} .1330208{col 51}{space 1}    1.50{col 60}{space 3}0.134{col 68}{space 4}-.0615644{col 81}{space 3} .4598675
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0975512{col 40}{space 2} .0807745{col 51}{space 1}   -1.21{col 60}{space 3}0.227{col 68}{space 4}-.2558664{col 81}{space 3}  .060764
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0443486{col 40}{space 2} .0719612{col 51}{space 1}   -0.62{col 60}{space 3}0.538{col 68}{space 4}-.1853899{col 81}{space 3} .0966927
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .2248286{col 40}{space 2} .7274862{col 51}{space 1}    0.31{col 60}{space 3}0.757{col 68}{space 4}-1.201018{col 81}{space 3} 1.650675
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2237651{col 40}{space 2} .1454058{col 51}{space 1}    1.54{col 60}{space 3}0.124{col 68}{space 4}-.0612249{col 81}{space 3} .5087552
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.6853032{col 40}{space 2} .6419319{col 51}{space 1}   -1.07{col 60}{space 3}0.286{col 68}{space 4}-1.943467{col 81}{space 3} .5728602
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-8.504153{col 40}{space 2} 2.526859{col 51}{space 1}   -3.37{col 60}{space 3}0.001{col 68}{space 4}-13.45671{col 81}{space 3}  -3.5516
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat_overtn sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6464.9701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4783.2496}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3945.5166}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3894.9722}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3893.7961}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3893.7892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3893.7892}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2641.72
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3893.7892{txt}{col 51}Pseudo R2{col 67}= {res}    0.3977

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.3920717{col 29}{space 2} .1333917{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}-.6535147{col 70}{space 3}-.1306288
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.1615635{col 29}{space 2} .1302156{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4}-.4167814{col 70}{space 3} .0936544
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1606834{col 29}{space 2} .5011745{col 40}{space 1}   -0.32{col 49}{space 3}0.749{col 57}{space 4}-1.142967{col 70}{space 3} .8216006
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} -.502112{col 29}{space 2} .3370001{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4} -1.16262{col 70}{space 3}  .158396
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1497355{col 29}{space 2} .1780865{col 40}{space 1}   -0.84{col 49}{space 3}0.400{col 57}{space 4}-.4987787{col 70}{space 3} .1993077
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2735785{col 29}{space 2} .2693387{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-.8014727{col 70}{space 3} .2543158
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.969815{col 29}{space 2} .4768682{col 40}{space 1}    4.13{col 49}{space 3}0.000{col 57}{space 4} 1.035171{col 70}{space 3}  2.90446
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 22.30717{col 29}{space 2} 6.515191{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} 9.537629{col 70}{space 3} 35.07671
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.130049{col 29}{space 2} .3577087{col 40}{space 1}   14.34{col 49}{space 3}0.000{col 57}{space 4} 4.428953{col 70}{space 3} 5.831145
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0540147{col 29}{space 2}  .021729{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} .0114266{col 70}{space 3} .0966028
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0481366{col 29}{space 2} .0196644{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4}  .009595{col 70}{space 3} .0866782
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0797473{col 29}{space 2} .0228999{col 40}{space 1}   -3.48{col 49}{space 3}0.000{col 57}{space 4}-.1246303{col 70}{space 3}-.0348643
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4762741{col 29}{space 2} .2428486{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4} .0002995{col 70}{space 3} .9522486
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0823693{col 29}{space 2} .0476213{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.1757052{col 70}{space 3} .0109667
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.473293{col 29}{space 2} .5244335{col 40}{space 1}    4.72{col 49}{space 3}0.000{col 57}{space 4} 1.445423{col 70}{space 3} 3.501164
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.3507957{col 29}{space 2} .0444444{col 40}{space 1}   -7.89{col 49}{space 3}0.000{col 57}{space 4}-.4379051{col 70}{space 3}-.2636863
{txt}threat_years2_o {c |}{col 17}{res}{space 2}   .02085{col 29}{space 2} .0035854{col 40}{space 1}    5.82{col 49}{space 3}0.000{col 57}{space 4} .0138227{col 70}{space 3} .0278772
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0003849{col 29}{space 2} .0000825{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4}-.0005466{col 70}{space 3}-.0002232
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-12.21363{col 29}{space 2} 1.649086{col 40}{space 1}   -7.41{col 49}{space 3}0.000{col 57}{space 4}-15.44578{col 70}{space 3}-8.981487
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-379.83877}  
Iteration 1:{space 3}log pseudolikelihood = {res:-284.44925}  
Iteration 2:{space 3}log pseudolikelihood = {res:-277.17373}  
Iteration 3:{space 3}log pseudolikelihood = {res:-276.95647}  
Iteration 4:{space 3}log pseudolikelihood = {res:-276.95599}  
Iteration 5:{space 3}log pseudolikelihood = {res:-276.95599}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       664
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     75.83
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-276.95599{txt}{col 51}Pseudo R2{col 67}= {res}    0.2709

{txt}{ralign 92:(Std. Err. adjusted for {res:213} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2} .4267145{col 40}{space 2} .3674202{col 51}{space 1}    1.16{col 60}{space 3}0.245{col 68}{space 4}-.2934158{col 81}{space 3} 1.146845
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2}-.2271484{col 40}{space 2} .3168758{col 51}{space 1}   -0.72{col 60}{space 3}0.473{col 68}{space 4}-.8482135{col 81}{space 3} .3939167
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.120942{col 40}{space 2} 1.002788{col 51}{space 1}   -1.12{col 60}{space 3}0.264{col 68}{space 4}-3.086371{col 81}{space 3} .8444871
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.0469047{col 40}{space 2} .5126301{col 51}{space 1}   -0.09{col 60}{space 3}0.927{col 68}{space 4}-1.051641{col 81}{space 3} .9578319
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.101889{col 40}{space 2} .7604717{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4}  .611392{col 81}{space 3} 3.592386
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .6902612{col 40}{space 2} .6319776{col 51}{space 1}    1.09{col 60}{space 3}0.275{col 68}{space 4}-.5483922{col 81}{space 3} 1.928914
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.180765{col 40}{space 2} .9466941{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} 1.325278{col 81}{space 3} 5.036251
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.3690112{col 40}{space 2} .8741548{col 51}{space 1}   -0.42{col 60}{space 3}0.673{col 68}{space 4}-2.082323{col 81}{space 3} 1.344301
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} -.113931{col 40}{space 2}  .077536{col 51}{space 1}   -1.47{col 60}{space 3}0.142{col 68}{space 4}-.2658989{col 81}{space 3} .0380368
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} -.093073{col 40}{space 2} .0903892{col 51}{space 1}   -1.03{col 60}{space 3}0.303{col 68}{space 4}-.2702326{col 81}{space 3} .0840865
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .4999742{col 40}{space 2} .6842179{col 51}{space 1}    0.73{col 60}{space 3}0.465{col 68}{space 4}-.8410683{col 81}{space 3} 1.841017
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .2638659{col 40}{space 2} .5385593{col 51}{space 1}    0.49{col 60}{space 3}0.624{col 68}{space 4} -.791691{col 81}{space 3} 1.319423
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .8536227{col 40}{space 2} .7190016{col 51}{space 1}    1.19{col 60}{space 3}0.235{col 68}{space 4}-.5555944{col 81}{space 3}  2.26284
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5262487{col 40}{space 2} .5448942{col 51}{space 1}   -0.97{col 60}{space 3}0.334{col 68}{space 4}-1.594222{col 81}{space 3} .5417243
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-11.80569{col 40}{space 2} 27.94634{col 51}{space 1}   -0.42{col 60}{space 3}0.673{col 68}{space 4}-66.57951{col 81}{space 3} 42.96812
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.024523{col 40}{space 2} .4474759{col 51}{space 1}   -4.52{col 60}{space 3}0.000{col 68}{space 4} -2.90156{col 81}{space 3}-1.147487
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0837275{col 40}{space 2}  .044696{col 51}{space 1}   -1.87{col 60}{space 3}0.061{col 68}{space 4}  -.17133{col 81}{space 3}  .003875
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0181587{col 40}{space 2} .0470373{col 51}{space 1}   -0.39{col 60}{space 3}0.699{col 68}{space 4}-.1103502{col 81}{space 3} .0740327
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0589526{col 40}{space 2} .0535944{col 51}{space 1}   -1.10{col 60}{space 3}0.271{col 68}{space 4}-.1639956{col 81}{space 3} .0460904
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.4544703{col 40}{space 2} .4362815{col 51}{space 1}   -1.04{col 60}{space 3}0.298{col 68}{space 4}-1.309566{col 81}{space 3} .4006257
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2604939{col 40}{space 2}   .08909{col 51}{space 1}    2.92{col 60}{space 3}0.003{col 68}{space 4} .0858808{col 81}{space 3} .4351071
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.2960981{col 40}{space 2} .5954572{col 51}{space 1}   -0.50{col 60}{space 3}0.619{col 68}{space 4}-1.463173{col 81}{space 3} .8709765
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 2.051312{col 40}{space 2} 1.654739{col 51}{space 1}    1.24{col 60}{space 3}0.215{col 68}{space 4}-1.191917{col 81}{space 3} 5.294541
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 3****
. *Models 1 and 2*
. heckprob imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat_overtn= SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-343.34956}  
Iteration 1:{space 3}log pseudolikelihood = {res:-286.16696}  
Iteration 2:{space 3}log pseudolikelihood = {res:-285.18277}  
Iteration 3:{space 3}log pseudolikelihood = {res:-285.16768}  
Iteration 4:{space 3}log pseudolikelihood = {res:-285.16767}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3733.2656}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2855.4788}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1912.1299}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1882.9214}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1881.3813}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1881.3708}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1881.3708}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-365.28856}  
Iteration 1:{space 3}log pseudolikelihood = {res:-284.65558}  
Iteration 2:{space 3}log pseudolikelihood = {res:-282.99445}  
Iteration 3:{space 3}log pseudolikelihood = {res:-282.95319}  
Iteration 4:{space 3}log pseudolikelihood = {res:-282.95312}  
Iteration 5:{space 3}log pseudolikelihood = {res:-282.95312}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2164.5027}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2164.2608}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2164.2603}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2164.2603}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   231500
{txt}                                                Censored obs       = {res}   230973
                                                {txt}Uncensored obs     = {res}      527

                                                {txt}Wald chi2({res}16{txt})      = {res}   127.84
{txt}Log pseudolikelihood = {res} -2164.26                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 5}SenderGovt {c |}{col 17}{res}{space 2} .4261769{col 29}{space 2} .1683461{col 40}{space 1}    2.53{col 49}{space 3}0.011{col 57}{space 4} .0962246{col 70}{space 3} .7561293
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .6032676{col 29}{space 2} .2099853{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} .1917039{col 70}{space 3} 1.014831
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1657933{col 29}{space 2} .0727767{col 40}{space 1}   -2.28{col 49}{space 3}0.023{col 57}{space 4}-.3084329{col 70}{space 3}-.0231536
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}  .921472{col 29}{space 2} .7593068{col 40}{space 1}    1.21{col 49}{space 3}0.225{col 57}{space 4}-.5667419{col 70}{space 3} 2.409686
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0788875{col 29}{space 2} .5717474{col 40}{space 1}    0.14{col 49}{space 3}0.890{col 57}{space 4}-1.041717{col 70}{space 3} 1.199492
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2942006{col 29}{space 2} .2067669{col 40}{space 1}    1.42{col 49}{space 3}0.155{col 57}{space 4} -.111055{col 70}{space 3} .6994562
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.8852629{col 29}{space 2} .3628244{col 40}{space 1}   -2.44{col 49}{space 3}0.015{col 57}{space 4}-1.596386{col 70}{space 3}-.1741401
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.222507{col 29}{space 2} .3352438{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .5654415{col 70}{space 3} 1.879573
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 14.39295{col 29}{space 2} 10.35738{col 40}{space 1}    1.39{col 49}{space 3}0.165{col 57}{space 4}-5.907144{col 70}{space 3} 34.69305
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .6369708{col 29}{space 2} .4798834{col 40}{space 1}    1.33{col 49}{space 3}0.184{col 57}{space 4}-.3035834{col 70}{space 3} 1.577525
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0346404{col 29}{space 2} .0598973{col 40}{space 1}   -0.58{col 49}{space 3}0.563{col 57}{space 4} -.152037{col 70}{space 3} .0827562
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}-.0244618{col 29}{space 2} .0326155{col 40}{space 1}   -0.75{col 49}{space 3}0.453{col 57}{space 4} -.088387{col 70}{space 3} .0394635
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0690305{col 29}{space 2} .0275633{col 40}{space 1}    2.50{col 49}{space 3}0.012{col 57}{space 4} .0150074{col 70}{space 3} .1230537
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .1125903{col 29}{space 2} .2227271{col 40}{space 1}    0.51{col 49}{space 3}0.613{col 57}{space 4}-.3239468{col 70}{space 3} .5491274
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0432665{col 29}{space 2} .0634885{col 40}{space 1}   -0.68{col 49}{space 3}0.496{col 57}{space 4}-.1677016{col 70}{space 3} .0811687
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .4867545{col 29}{space 2} .3951991{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4}-.2878216{col 70}{space 3} 1.261331
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.766279{col 29}{space 2} 1.593048{col 40}{space 1}   -3.62{col 49}{space 3}0.000{col 57}{space 4}-8.888596{col 70}{space 3}-2.643963
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat_overtn   {txt}{c |}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.0205023{col 29}{space 2} .0613419{col 40}{space 1}   -0.33{col 49}{space 3}0.738{col 57}{space 4}-.1407302{col 70}{space 3} .0997255
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .0865155{col 29}{space 2} .0645401{col 40}{space 1}    1.34{col 49}{space 3}0.180{col 57}{space 4}-.0399809{col 70}{space 3} .2130118
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0406277{col 29}{space 2} .0267233{col 40}{space 1}   -1.52{col 49}{space 3}0.128{col 57}{space 4}-.0930044{col 70}{space 3} .0117491
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1970484{col 29}{space 2} .2548928{col 40}{space 1}   -0.77{col 49}{space 3}0.439{col 57}{space 4}-.6966291{col 70}{space 3} .3025323
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0060367{col 29}{space 2} .2554502{col 40}{space 1}    0.02{col 49}{space 3}0.981{col 57}{space 4}-.4946365{col 70}{space 3} .5067099
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1211518{col 29}{space 2} .0912899{col 40}{space 1}   -1.33{col 49}{space 3}0.184{col 57}{space 4}-.3000767{col 70}{space 3} .0577731
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.0980314{col 29}{space 2} .1260155{col 40}{space 1}   -0.78{col 49}{space 3}0.437{col 57}{space 4}-.3450173{col 70}{space 3} .1489545
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7997161{col 29}{space 2} .2317214{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} .3455505{col 70}{space 3} 1.253882
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 5.864689{col 29}{space 2} 4.466248{col 40}{space 1}    1.31{col 49}{space 3}0.189{col 57}{space 4}-2.888997{col 70}{space 3} 14.61837
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 2.079641{col 29}{space 2} .1749149{col 40}{space 1}   11.89{col 49}{space 3}0.000{col 57}{space 4} 1.736814{col 70}{space 3} 2.422468
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0359932{col 29}{space 2} .0169967{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0026804{col 70}{space 3} .0693061
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0089775{col 29}{space 2} .0106536{col 40}{space 1}    0.84{col 49}{space 3}0.399{col 57}{space 4}-.0119033{col 70}{space 3} .0298582
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} -.035959{col 29}{space 2} .0125742{col 40}{space 1}   -2.86{col 49}{space 3}0.004{col 57}{space 4}-.0606039{col 70}{space 3}-.0113141
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .3977113{col 29}{space 2} .1217559{col 40}{space 1}    3.27{col 49}{space 3}0.001{col 57}{space 4} .1590742{col 70}{space 3} .6363485
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0398202{col 29}{space 2} .0219545{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-.0828502{col 70}{space 3} .0032098
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .7445211{col 29}{space 2} .2166954{col 40}{space 1}    3.44{col 49}{space 3}0.001{col 57}{space 4}  .319806{col 70}{space 3} 1.169236
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.2681164{col 29}{space 2} .0275996{col 40}{space 1}   -9.71{col 49}{space 3}0.000{col 57}{space 4}-.3222106{col 70}{space 3}-.2140223
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0154929{col 29}{space 2} .0020736{col 40}{space 1}    7.47{col 49}{space 3}0.000{col 57}{space 4} .0114287{col 70}{space 3}  .019557
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0002704{col 29}{space 2} .0000455{col 40}{space 1}   -5.95{col 49}{space 3}0.000{col 57}{space 4}-.0003595{col 70}{space 3}-.0001813
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.154945{col 29}{space 2}   .88554{col 40}{space 1}   -5.82{col 49}{space 3}0.000{col 57}{space 4}-6.890571{col 70}{space 3}-3.419318
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4008122{col 29}{space 2} .2416045{col 40}{space 1}    1.66{col 49}{space 3}0.097{col 57}{space 4} -.072724{col 70}{space 3} .8743483
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .3806437{col 29}{space 2} .2065985{col 57}{space 4} -.072596{col 70}{space 3} .7035767
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    2.75   {txt}Prob > chi2 = {res}0.0971
{txt}
{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat_overtn SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3733.2656}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2452.5251}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -2055.57}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1879.6248}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1861.5763}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1860.4743}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1860.467}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1860.467}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1410.07
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1860.467{txt}{col 51}Pseudo R2{col 67}= {res}    0.5017

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2} -.104853{col 29}{space 2} .1427383{col 40}{space 1}   -0.73{col 49}{space 3}0.463{col 57}{space 4}-.3846149{col 70}{space 3} .1749089
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .2290103{col 29}{space 2} .1703789{col 40}{space 1}    1.34{col 49}{space 3}0.179{col 57}{space 4}-.1049262{col 70}{space 3} .5629467
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0954636{col 29}{space 2} .0617166{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} -.216426{col 70}{space 3} .0254987
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.3729586{col 29}{space 2} .5815175{col 40}{space 1}   -0.64{col 49}{space 3}0.521{col 57}{space 4}-1.512712{col 70}{space 3} .7667948
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .3528982{col 29}{space 2} .6078851{col 40}{space 1}    0.58{col 49}{space 3}0.562{col 57}{space 4}-.8385347{col 70}{space 3} 1.544331
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.5676941{col 29}{space 2} .2069879{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-.9733828{col 70}{space 3}-.1620053
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.0664369{col 29}{space 2} .3343023{col 40}{space 1}   -0.20{col 49}{space 3}0.842{col 57}{space 4}-.7216573{col 70}{space 3} .5887836
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.929143{col 29}{space 2} .5525654{col 40}{space 1}    3.49{col 49}{space 3}0.000{col 57}{space 4} .8461344{col 70}{space 3} 3.012151
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 15.93813{col 29}{space 2} 8.451753{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4} -.627005{col 70}{space 3} 32.50326
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.596848{col 29}{space 2} .4828948{col 40}{space 1}   11.59{col 49}{space 3}0.000{col 57}{space 4} 4.650391{col 70}{space 3} 6.543304
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .1151792{col 29}{space 2} .0620858{col 40}{space 1}    1.86{col 49}{space 3}0.064{col 57}{space 4}-.0065067{col 70}{space 3} .2368651
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0439376{col 29}{space 2} .0324745{col 40}{space 1}    1.35{col 49}{space 3}0.176{col 57}{space 4}-.0197113{col 70}{space 3} .1075865
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1198948{col 29}{space 2}  .032232{col 40}{space 1}   -3.72{col 49}{space 3}0.000{col 57}{space 4}-.1830683{col 70}{space 3}-.0567213
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .7834597{col 29}{space 2} .2935179{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .2081752{col 70}{space 3} 1.358744
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1586014{col 29}{space 2} .0627192{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-.2815289{col 70}{space 3} -.035674
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.456455{col 29}{space 2} .6070598{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} .2666395{col 70}{space 3}  2.64627
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.5657024{col 29}{space 2} .0606182{col 40}{space 1}   -9.33{col 49}{space 3}0.000{col 57}{space 4}-.6845119{col 70}{space 3}-.4468929
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0331163{col 29}{space 2} .0047125{col 40}{space 1}    7.03{col 49}{space 3}0.000{col 57}{space 4}   .02388{col 70}{space 3} .0423526
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0005752{col 29}{space 2} .0001043{col 40}{space 1}   -5.51{col 49}{space 3}0.000{col 57}{space 4}-.0007797{col 70}{space 3}-.0003707
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-12.99613{col 29}{space 2} 2.017252{col 40}{space 1}   -6.44{col 49}{space 3}0.000{col 57}{space 4}-16.94987{col 70}{space 3}-9.042383
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat_overtn SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3733.2656}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2452.5251}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -2055.57}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1879.6248}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1861.5763}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1860.4743}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1860.467}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1860.467}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1410.07
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1860.467{txt}{col 51}Pseudo R2{col 67}= {res}    0.5017

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2} -.104853{col 29}{space 2} .1427383{col 40}{space 1}   -0.73{col 49}{space 3}0.463{col 57}{space 4}-.3846149{col 70}{space 3} .1749089
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .2290103{col 29}{space 2} .1703789{col 40}{space 1}    1.34{col 49}{space 3}0.179{col 57}{space 4}-.1049262{col 70}{space 3} .5629467
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0954636{col 29}{space 2} .0617166{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} -.216426{col 70}{space 3} .0254987
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.3729586{col 29}{space 2} .5815175{col 40}{space 1}   -0.64{col 49}{space 3}0.521{col 57}{space 4}-1.512712{col 70}{space 3} .7667948
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .3528982{col 29}{space 2} .6078851{col 40}{space 1}    0.58{col 49}{space 3}0.562{col 57}{space 4}-.8385347{col 70}{space 3} 1.544331
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.5676941{col 29}{space 2} .2069879{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-.9733828{col 70}{space 3}-.1620053
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.0664369{col 29}{space 2} .3343023{col 40}{space 1}   -0.20{col 49}{space 3}0.842{col 57}{space 4}-.7216573{col 70}{space 3} .5887836
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.929143{col 29}{space 2} .5525654{col 40}{space 1}    3.49{col 49}{space 3}0.000{col 57}{space 4} .8461344{col 70}{space 3} 3.012151
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 15.93813{col 29}{space 2} 8.451753{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4} -.627005{col 70}{space 3} 32.50326
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.596848{col 29}{space 2} .4828948{col 40}{space 1}   11.59{col 49}{space 3}0.000{col 57}{space 4} 4.650391{col 70}{space 3} 6.543304
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .1151792{col 29}{space 2} .0620858{col 40}{space 1}    1.86{col 49}{space 3}0.064{col 57}{space 4}-.0065067{col 70}{space 3} .2368651
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0439376{col 29}{space 2} .0324745{col 40}{space 1}    1.35{col 49}{space 3}0.176{col 57}{space 4}-.0197113{col 70}{space 3} .1075865
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1198948{col 29}{space 2}  .032232{col 40}{space 1}   -3.72{col 49}{space 3}0.000{col 57}{space 4}-.1830683{col 70}{space 3}-.0567213
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .7834597{col 29}{space 2} .2935179{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .2081752{col 70}{space 3} 1.358744
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1586014{col 29}{space 2} .0627192{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-.2815289{col 70}{space 3} -.035674
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.456455{col 29}{space 2} .6070598{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} .2666395{col 70}{space 3}  2.64627
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.5657024{col 29}{space 2} .0606182{col 40}{space 1}   -9.33{col 49}{space 3}0.000{col 57}{space 4}-.6845119{col 70}{space 3}-.4468929
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0331163{col 29}{space 2} .0047125{col 40}{space 1}    7.03{col 49}{space 3}0.000{col 57}{space 4}   .02388{col 70}{space 3} .0423526
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0005752{col 29}{space 2} .0001043{col 40}{space 1}   -5.51{col 49}{space 3}0.000{col 57}{space 4}-.0007797{col 70}{space 3}-.0003707
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-12.99613{col 29}{space 2} 2.017252{col 40}{space 1}   -6.44{col 49}{space 3}0.000{col 57}{space 4}-16.94987{col 70}{space 3}-9.042383
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: polity21 != 10 predicts failure perfectly
      polity21 dropped and 32 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-213.31175}  
Iteration 1:{space 3}log pseudolikelihood = {res:-126.55498}  
Iteration 2:{space 3}log pseudolikelihood = {res:-116.41774}  
Iteration 3:{space 3}log pseudolikelihood = {res:-114.71761}  
Iteration 4:{space 3}log pseudolikelihood = {res:-114.43552}  
Iteration 5:{space 3}log pseudolikelihood = {res:-114.42198}  
Iteration 6:{space 3}log pseudolikelihood = {res:-114.42194}  
Iteration 7:{space 3}log pseudolikelihood = {res:-114.42194}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       375
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     68.84
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-114.42194{txt}{col 51}Pseudo R2{col 67}= {res}    0.4636

{txt}{ralign 92:(Std. Err. adjusted for {res:101} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2}-1.214318{col 40}{space 2} .4419656{col 51}{space 1}   -2.75{col 60}{space 3}0.006{col 68}{space 4}-2.080554{col 81}{space 3}-.3480809
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2} .4607058{col 40}{space 2}  .596828{col 51}{space 1}    0.77{col 60}{space 3}0.440{col 68}{space 4}-.7090557{col 81}{space 3} 1.630467
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .0115535{col 40}{space 2}  .224739{col 51}{space 1}    0.05{col 60}{space 3}0.959{col 68}{space 4}-.4289268{col 81}{space 3} .4520339
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 3.871898{col 40}{space 2} 1.658075{col 51}{space 1}    2.34{col 60}{space 3}0.020{col 68}{space 4}   .62213{col 81}{space 3} 7.121666
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.2802129{col 40}{space 2}  .782787{col 51}{space 1}   -0.36{col 60}{space 3}0.720{col 68}{space 4}-1.814447{col 81}{space 3} 1.254021
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.314112{col 40}{space 2} 1.266219{col 51}{space 1}   -1.04{col 60}{space 3}0.299{col 68}{space 4}-3.795855{col 81}{space 3} 1.167631
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.793789{col 40}{space 2} .7196141{col 51}{space 1}   -3.88{col 60}{space 3}0.000{col 68}{space 4}-4.204206{col 81}{space 3}-1.383371
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -2.09233{col 40}{space 2} 1.321841{col 51}{space 1}   -1.58{col 60}{space 3}0.113{col 68}{space 4}-4.683091{col 81}{space 3} .4984319
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  2.09039{col 40}{space 2} 1.075894{col 51}{space 1}    1.94{col 60}{space 3}0.052{col 68}{space 4}-.0183238{col 81}{space 3} 4.199104
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0581572{col 40}{space 2} .1010299{col 51}{space 1}   -0.58{col 60}{space 3}0.565{col 68}{space 4}-.2561721{col 81}{space 3} .1398577
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.1092724{col 40}{space 2}  .140044{col 51}{space 1}   -0.78{col 60}{space 3}0.435{col 68}{space 4}-.3837535{col 81}{space 3} .1652087
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-4.232739{col 40}{space 2}  1.58455{col 51}{space 1}   -2.67{col 60}{space 3}0.008{col 68}{space 4}-7.338401{col 81}{space 3}-1.127078
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-1.068946{col 40}{space 2} .9888312{col 51}{space 1}   -1.08{col 60}{space 3}0.280{col 68}{space 4} -3.00702{col 81}{space 3} .8691275
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}  3.62425{col 40}{space 2} 1.652543{col 51}{space 1}    2.19{col 60}{space 3}0.028{col 68}{space 4} .3853251{col 81}{space 3} 6.863174
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 2.061361{col 40}{space 2} .8568487{col 51}{space 1}    2.41{col 60}{space 3}0.016{col 68}{space 4} .3819683{col 81}{space 3} 3.740753
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-251.1268{col 40}{space 2} 356.7406{col 51}{space 1}   -0.70{col 60}{space 3}0.481{col 68}{space 4}-950.3256{col 81}{space 3} 448.0719
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.096003{col 40}{space 2} .9502325{col 51}{space 1}   -1.15{col 60}{space 3}0.249{col 68}{space 4}-2.958424{col 81}{space 3} .7664188
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 18}polity22 {c |}{col 28}{res}{space 2}-.3414429{col 40}{space 2} .1278078{col 51}{space 1}   -2.67{col 60}{space 3}0.008{col 68}{space 4}-.5919416{col 81}{space 3}-.0909441
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .1233239{col 40}{space 2} .0821343{col 51}{space 1}    1.50{col 60}{space 3}0.133{col 68}{space 4}-.0376564{col 81}{space 3} .2843041
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .1950308{col 40}{space 2}  .862575{col 51}{space 1}    0.23{col 60}{space 3}0.821{col 68}{space 4}-1.495585{col 81}{space 3} 1.885647
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0047484{col 40}{space 2} .2045806{col 51}{space 1}    0.02{col 60}{space 3}0.981{col 68}{space 4}-.3962223{col 81}{space 3}  .405719
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.7445352{col 40}{space 2} .6380768{col 51}{space 1}   -1.17{col 60}{space 3}0.243{col 68}{space 4}-1.995143{col 81}{space 3} .5060724
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -2.69539{col 40}{space 2} 2.855132{col 51}{space 1}   -0.94{col 60}{space 3}0.345{col 68}{space 4}-8.291347{col 81}{space 3} 2.900566
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat_overtn SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3733.2656}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2452.5251}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -2055.57}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1879.6248}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1861.5763}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1860.4743}  
Iteration 6:{space 3}log pseudolikelihood = {res: -1860.467}  
Iteration 7:{space 3}log pseudolikelihood = {res: -1860.467}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1410.07
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1860.467{txt}{col 51}Pseudo R2{col 67}= {res}    0.5017

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2} -.104853{col 29}{space 2} .1427383{col 40}{space 1}   -0.73{col 49}{space 3}0.463{col 57}{space 4}-.3846149{col 70}{space 3} .1749089
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .2290103{col 29}{space 2} .1703789{col 40}{space 1}    1.34{col 49}{space 3}0.179{col 57}{space 4}-.1049262{col 70}{space 3} .5629467
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0954636{col 29}{space 2} .0617166{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} -.216426{col 70}{space 3} .0254987
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.3729586{col 29}{space 2} .5815175{col 40}{space 1}   -0.64{col 49}{space 3}0.521{col 57}{space 4}-1.512712{col 70}{space 3} .7667948
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .3528982{col 29}{space 2} .6078851{col 40}{space 1}    0.58{col 49}{space 3}0.562{col 57}{space 4}-.8385347{col 70}{space 3} 1.544331
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.5676941{col 29}{space 2} .2069879{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-.9733828{col 70}{space 3}-.1620053
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.0664369{col 29}{space 2} .3343023{col 40}{space 1}   -0.20{col 49}{space 3}0.842{col 57}{space 4}-.7216573{col 70}{space 3} .5887836
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.929143{col 29}{space 2} .5525654{col 40}{space 1}    3.49{col 49}{space 3}0.000{col 57}{space 4} .8461344{col 70}{space 3} 3.012151
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 15.93813{col 29}{space 2} 8.451753{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4} -.627005{col 70}{space 3} 32.50326
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.596848{col 29}{space 2} .4828948{col 40}{space 1}   11.59{col 49}{space 3}0.000{col 57}{space 4} 4.650391{col 70}{space 3} 6.543304
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .1151792{col 29}{space 2} .0620858{col 40}{space 1}    1.86{col 49}{space 3}0.064{col 57}{space 4}-.0065067{col 70}{space 3} .2368651
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0439376{col 29}{space 2} .0324745{col 40}{space 1}    1.35{col 49}{space 3}0.176{col 57}{space 4}-.0197113{col 70}{space 3} .1075865
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1198948{col 29}{space 2}  .032232{col 40}{space 1}   -3.72{col 49}{space 3}0.000{col 57}{space 4}-.1830683{col 70}{space 3}-.0567213
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .7834597{col 29}{space 2} .2935179{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .2081752{col 70}{space 3} 1.358744
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1586014{col 29}{space 2} .0627192{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-.2815289{col 70}{space 3} -.035674
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.456455{col 29}{space 2} .6070598{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} .2666395{col 70}{space 3}  2.64627
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.5657024{col 29}{space 2} .0606182{col 40}{space 1}   -9.33{col 49}{space 3}0.000{col 57}{space 4}-.6845119{col 70}{space 3}-.4468929
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0331163{col 29}{space 2} .0047125{col 40}{space 1}    7.03{col 49}{space 3}0.000{col 57}{space 4}   .02388{col 70}{space 3} .0423526
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0005752{col 29}{space 2} .0001043{col 40}{space 1}   -5.51{col 49}{space 3}0.000{col 57}{space 4}-.0007797{col 70}{space 3}-.0003707
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-12.99613{col 29}{space 2} 2.017252{col 40}{space 1}   -6.44{col 49}{space 3}0.000{col 57}{space 4}-16.94987{col 70}{space 3}-9.042383
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: MajorSenderCost != 0 predicts failure perfectly
      MajorSenderCost dropped and 29 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-197.69263}  
Iteration 1:{space 3}log pseudolikelihood = {res:-138.84905}  
Iteration 2:{space 3}log pseudolikelihood = {res: -129.8935}  
Iteration 3:{space 3}log pseudolikelihood = {res:-129.24295}  
Iteration 4:{space 3}log pseudolikelihood = {res:-129.24156}  
Iteration 5:{space 3}log pseudolikelihood = {res:-129.24156}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       378
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}    105.16
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-129.24156{txt}{col 51}Pseudo R2{col 67}= {res}    0.3462

{txt}{ralign 92:(Std. Err. adjusted for {res:118} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2} .0013435{col 40}{space 2} .5787498{col 51}{space 1}    0.00{col 60}{space 3}0.998{col 68}{space 4}-1.132985{col 81}{space 3} 1.135672
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2}-1.301478{col 40}{space 2} .6228943{col 51}{space 1}   -2.09{col 60}{space 3}0.037{col 68}{space 4}-2.522329{col 81}{space 3}-.0806281
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .0179666{col 40}{space 2}  .262043{col 51}{space 1}    0.07{col 60}{space 3}0.945{col 68}{space 4}-.4956282{col 81}{space 3} .5315614
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-1.126426{col 40}{space 2} .8907099{col 51}{space 1}   -1.26{col 60}{space 3}0.206{col 68}{space 4}-2.872186{col 81}{space 3}  .619333
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.525751{col 40}{space 2} 1.081477{col 51}{space 1}    2.34{col 60}{space 3}0.020{col 68}{space 4} .4060946{col 81}{space 3} 4.645408
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .3775656{col 40}{space 2} .8601918{col 51}{space 1}    0.44{col 60}{space 3}0.661{col 68}{space 4}-1.308379{col 81}{space 3}  2.06351
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 4.182592{col 40}{space 2} 1.219787{col 51}{space 1}    3.43{col 60}{space 3}0.001{col 68}{space 4} 1.791854{col 81}{space 3}  6.57333
{txt}{space 24}5  {c |}{col 28}{res}{space 2} -1.34006{col 40}{space 2} 1.577552{col 51}{space 1}   -0.85{col 60}{space 3}0.396{col 68}{space 4}-4.432006{col 81}{space 3} 1.751886
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0411463{col 40}{space 2} .1081649{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4}-.2531457{col 81}{space 3}  .170853
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0134259{col 40}{space 2} .1376759{col 51}{space 1}   -0.10{col 60}{space 3}0.922{col 68}{space 4}-.2832656{col 81}{space 3} .2564139
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .4346809{col 40}{space 2} 1.141688{col 51}{space 1}    0.38{col 60}{space 3}0.703{col 68}{space 4}-1.802986{col 81}{space 3} 2.672348
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .7723921{col 40}{space 2} .7076623{col 51}{space 1}    1.09{col 60}{space 3}0.275{col 68}{space 4}-.6146006{col 81}{space 3} 2.159385
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .3844999{col 40}{space 2} 1.000652{col 51}{space 1}    0.38{col 60}{space 3}0.701{col 68}{space 4}-1.576741{col 81}{space 3} 2.345741
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-1.180218{col 40}{space 2} .8545897{col 51}{space 1}   -1.38{col 60}{space 3}0.167{col 68}{space 4}-2.855183{col 81}{space 3} .4947473
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-43.37042{col 40}{space 2} 34.41597{col 51}{space 1}   -1.26{col 60}{space 3}0.208{col 68}{space 4}-110.8245{col 81}{space 3} 24.08363
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.7667041{col 40}{space 2} .7983733{col 51}{space 1}   -0.96{col 60}{space 3}0.337{col 68}{space 4}-2.331487{col 81}{space 3} .7980788
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .0862304{col 40}{space 2} .1235879{col 51}{space 1}    0.70{col 60}{space 3}0.485{col 68}{space 4}-.1559974{col 81}{space 3} .3284582
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .3332158{col 40}{space 2} .1220636{col 51}{space 1}    2.73{col 60}{space 3}0.006{col 68}{space 4} .0939755{col 81}{space 3} .5724562
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.3773564{col 40}{space 2} .0937157{col 51}{space 1}   -4.03{col 60}{space 3}0.000{col 68}{space 4}-.5610357{col 81}{space 3} -.193677
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.3496447{col 40}{space 2} .5768986{col 51}{space 1}   -0.61{col 60}{space 3}0.544{col 68}{space 4}-1.480345{col 81}{space 3} .7810556
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  .426143{col 40}{space 2} .1957687{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .0424435{col 81}{space 3} .8098426
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.7807054{col 40}{space 2} .8108984{col 51}{space 1}   -0.96{col 60}{space 3}0.336{col 68}{space 4}-2.370037{col 81}{space 3} .8086262
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .5686528{col 40}{space 2}  3.18492{col 51}{space 1}    0.18{col 60}{space 3}0.858{col 68}{space 4}-5.673676{col 81}{space 3} 6.810982
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 4****
. *Models 1 and 2*
. heckprob imposition AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat_overtn=AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-437.55667}  
Iteration 1:{space 3}log pseudolikelihood = {res:-390.88005}  
Iteration 2:{space 3}log pseudolikelihood = {res:-390.69728}  
Iteration 3:{space 3}log pseudolikelihood = {res:-390.69726}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4876.533}  
Iteration 1:{space 3}log pseudolikelihood = {res: -4064.277}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2913.4273}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2892.0536}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2891.7884}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2891.7883}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-451.23881}  
Iteration 1:{space 3}log pseudolikelihood = {res:-386.83174}  
Iteration 2:{space 3}log pseudolikelihood = {res:-386.65374}  
Iteration 3:{space 3}log pseudolikelihood = {res:-386.65365}  
Iteration 4:{space 3}log pseudolikelihood = {res:-386.65365}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3279.2147}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3278.4838}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3278.4684}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3278.4683}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   429382
{txt}                                                Censored obs       = {res}   428731
                                                {txt}Uncensored obs     = {res}      651

                                                {txt}Wald chi2({res}14{txt})      = {res}   118.88
{txt}Log pseudolikelihood = {res}-3278.468                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
AddRestrictions {c |}{col 17}{res}{space 2} .0047326{col 29}{space 2} .0027799{col 40}{space 1}    1.70{col 49}{space 3}0.089{col 57}{space 4}-.0007158{col 70}{space 3} .0101811
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .5553677{col 29}{space 2} .5608251{col 40}{space 1}    0.99{col 49}{space 3}0.322{col 57}{space 4}-.5438293{col 70}{space 3} 1.654565
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.4028942{col 29}{space 2} .4691199{col 40}{space 1}   -0.86{col 49}{space 3}0.390{col 57}{space 4}-1.322352{col 70}{space 3}  .516564
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2951751{col 29}{space 2} .1661274{col 40}{space 1}    1.78{col 49}{space 3}0.076{col 57}{space 4}-.0304286{col 70}{space 3} .6207789
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.9839331{col 29}{space 2} .2305018{col 40}{space 1}   -4.27{col 49}{space 3}0.000{col 57}{space 4}-1.435708{col 70}{space 3}-.5321578
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .5075827{col 29}{space 2} .2807321{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4} -.042642{col 70}{space 3} 1.057807
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 16.55324{col 29}{space 2} 10.32777{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}-3.688812{col 70}{space 3}  36.7953
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.109579{col 29}{space 2} .2853337{col 40}{space 1}    3.89{col 49}{space 3}0.000{col 57}{space 4} .5503348{col 70}{space 3} 1.668822
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0036662{col 29}{space 2} .0175797{col 40}{space 1}    0.21{col 49}{space 3}0.835{col 57}{space 4}-.0307894{col 70}{space 3} .0381218
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0439374{col 29}{space 2} .0182689{col 40}{space 1}    2.41{col 49}{space 3}0.016{col 57}{space 4}  .008131{col 70}{space 3} .0797438
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0172968{col 29}{space 2} .0208705{col 40}{space 1}    0.83{col 49}{space 3}0.407{col 57}{space 4}-.0236086{col 70}{space 3} .0582021
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0747726{col 29}{space 2} .1854607{col 40}{space 1}    0.40{col 49}{space 3}0.687{col 57}{space 4}-.2887238{col 70}{space 3} .4382689
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0724135{col 29}{space 2} .0405574{col 40}{space 1}   -1.79{col 49}{space 3}0.074{col 57}{space 4}-.1519045{col 70}{space 3} .0070775
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .3686647{col 29}{space 2} .2701869{col 40}{space 1}    1.36{col 49}{space 3}0.172{col 57}{space 4} -.160892{col 70}{space 3} .8982213
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.737689{col 29}{space 2} 1.117975{col 40}{space 1}   -3.34{col 49}{space 3}0.001{col 57}{space 4} -5.92888{col 70}{space 3}-1.546498
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat_overtn   {txt}{c |}
AddRestrictions {c |}{col 17}{res}{space 2} .0040222{col 29}{space 2} .0011133{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .0018402{col 70}{space 3} .0062043
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .0192716{col 29}{space 2} .2026343{col 40}{space 1}    0.10{col 49}{space 3}0.924{col 57}{space 4}-.3778842{col 70}{space 3} .4164275
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.0667132{col 29}{space 2} .1959747{col 40}{space 1}   -0.34{col 49}{space 3}0.734{col 57}{space 4}-.4508165{col 70}{space 3} .3173901
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1046733{col 29}{space 2} .0767508{col 40}{space 1}   -1.36{col 49}{space 3}0.173{col 57}{space 4}-.2551021{col 70}{space 3} .0457556
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2030782{col 29}{space 2} .1342162{col 40}{space 1}   -1.51{col 49}{space 3}0.130{col 57}{space 4}-.4661372{col 70}{space 3} .0599808
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .9315769{col 29}{space 2}   .14099{col 40}{space 1}    6.61{col 49}{space 3}0.000{col 57}{space 4} .6552416{col 70}{space 3} 1.207912
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 5.770912{col 29}{space 2} 3.158693{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-.4200127{col 70}{space 3} 11.96184
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.793058{col 29}{space 2} .1526211{col 40}{space 1}   11.75{col 49}{space 3}0.000{col 57}{space 4} 1.493926{col 70}{space 3}  2.09219
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0000892{col 29}{space 2} .0069763{col 40}{space 1}    0.01{col 49}{space 3}0.990{col 57}{space 4} -.013584{col 70}{space 3} .0137624
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0017487{col 29}{space 2} .0064935{col 40}{space 1}    0.27{col 49}{space 3}0.788{col 57}{space 4}-.0109783{col 70}{space 3} .0144757
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0049459{col 29}{space 2} .0101759{col 40}{space 1}   -0.49{col 49}{space 3}0.627{col 57}{space 4}-.0248902{col 70}{space 3} .0149985
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2022228{col 29}{space 2}  .086711{col 40}{space 1}    2.33{col 49}{space 3}0.020{col 57}{space 4} .0322724{col 70}{space 3} .3721733
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0115352{col 29}{space 2} .0205919{col 40}{space 1}   -0.56{col 49}{space 3}0.575{col 57}{space 4}-.0518947{col 70}{space 3} .0288242
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.048926{col 29}{space 2} .1786277{col 40}{space 1}    5.87{col 49}{space 3}0.000{col 57}{space 4} .6988217{col 70}{space 3}  1.39903
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.2412547{col 29}{space 2} .0218435{col 40}{space 1}  -11.04{col 49}{space 3}0.000{col 57}{space 4}-.2840671{col 70}{space 3}-.1984423
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0146389{col 29}{space 2} .0017482{col 40}{space 1}    8.37{col 49}{space 3}0.000{col 57}{space 4} .0112124{col 70}{space 3} .0180654
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0002676{col 29}{space 2}  .000039{col 40}{space 1}   -6.85{col 49}{space 3}0.000{col 57}{space 4}-.0003441{col 70}{space 3}-.0001911
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.817519{col 29}{space 2}  .534057{col 40}{space 1}  -10.89{col 49}{space 3}0.000{col 57}{space 4}-6.864251{col 70}{space 3}-4.770786
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4739577{col 29}{space 2} .1838294{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} .1136587{col 70}{space 3} .8342566
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4413915{col 29}{space 2} .1480146{col 57}{space 4} .1131718{col 70}{space 3}  .682755
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    6.65   {txt}Prob > chi2 = {res}0.0099
{txt}
{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat_overtn AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4876.533}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3524.676}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3005.4462}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2889.9503}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2887.2116}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2887.1942}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2887.1942}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2159.71
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2887.1942{txt}{col 51}Pseudo R2{col 67}= {res}    0.4079

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0083917{col 29}{space 2} .0038388{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .0008679{col 70}{space 3} .0159156
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1032767{col 29}{space 2} .5125072{col 40}{space 1}    0.20{col 49}{space 3}0.840{col 57}{space 4}-.9012189{col 70}{space 3} 1.107772
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.0383472{col 29}{space 2} .5038056{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}-1.025788{col 70}{space 3} .9490936
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.4156224{col 29}{space 2}  .187288{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4}-.7827002{col 70}{space 3}-.0485446
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5046863{col 29}{space 2} .3574783{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4}-1.205331{col 70}{space 3} .1959583
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.673879{col 29}{space 2}  .393665{col 40}{space 1}    6.79{col 49}{space 3}0.000{col 57}{space 4}  1.90231{col 70}{space 3} 3.445448
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 12.62967{col 29}{space 2} 6.985647{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}-1.061944{col 70}{space 3} 26.32129
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.743067{col 29}{space 2} .4470859{col 40}{space 1}   10.61{col 49}{space 3}0.000{col 57}{space 4} 3.866795{col 70}{space 3}  5.61934
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0074203{col 29}{space 2} .0229891{col 40}{space 1}    0.32{col 49}{space 3}0.747{col 57}{space 4}-.0376375{col 70}{space 3} .0524781
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0144083{col 29}{space 2} .0214668{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4}-.0276658{col 70}{space 3} .0564824
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0378005{col 29}{space 2} .0257567{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4}-.0882827{col 70}{space 3} .0126818
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4253402{col 29}{space 2} .2472631{col 40}{space 1}    1.72{col 49}{space 3}0.085{col 57}{space 4}-.0592866{col 70}{space 3} .9099669
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0701514{col 29}{space 2} .0591177{col 40}{space 1}   -1.19{col 49}{space 3}0.235{col 57}{space 4}-.1860201{col 70}{space 3} .0457172
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.380618{col 29}{space 2} .6027563{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 1.199237{col 70}{space 3} 3.561998
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.5730251{col 29}{space 2} .0560725{col 40}{space 1}  -10.22{col 49}{space 3}0.000{col 57}{space 4}-.6829251{col 70}{space 3}-.4631251
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0353346{col 29}{space 2}  .004556{col 40}{space 1}    7.76{col 49}{space 3}0.000{col 57}{space 4} .0264051{col 70}{space 3} .0442641
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0006513{col 29}{space 2} .0001021{col 40}{space 1}   -6.38{col 49}{space 3}0.000{col 57}{space 4}-.0008514{col 70}{space 3}-.0004513
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-15.09867{col 29}{space 2} 1.439774{col 40}{space 1}  -10.49{col 49}{space 3}0.000{col 57}{space 4}-17.92057{col 70}{space 3}-12.27676
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0070939{col 29}{space 2} .0050214{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} -.002748{col 70}{space 3} .0169357
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat_overtn AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4876.533}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3524.676}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3005.4462}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2889.9503}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2887.2116}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2887.1942}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2887.1942}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2159.71
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2887.1942{txt}{col 51}Pseudo R2{col 67}= {res}    0.4079

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0083917{col 29}{space 2} .0038388{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .0008679{col 70}{space 3} .0159156
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1032767{col 29}{space 2} .5125072{col 40}{space 1}    0.20{col 49}{space 3}0.840{col 57}{space 4}-.9012189{col 70}{space 3} 1.107772
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.0383472{col 29}{space 2} .5038056{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}-1.025788{col 70}{space 3} .9490936
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.4156224{col 29}{space 2}  .187288{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4}-.7827002{col 70}{space 3}-.0485446
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5046863{col 29}{space 2} .3574783{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4}-1.205331{col 70}{space 3} .1959583
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.673879{col 29}{space 2}  .393665{col 40}{space 1}    6.79{col 49}{space 3}0.000{col 57}{space 4}  1.90231{col 70}{space 3} 3.445448
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 12.62967{col 29}{space 2} 6.985647{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}-1.061944{col 70}{space 3} 26.32129
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.743067{col 29}{space 2} .4470859{col 40}{space 1}   10.61{col 49}{space 3}0.000{col 57}{space 4} 3.866795{col 70}{space 3}  5.61934
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0074203{col 29}{space 2} .0229891{col 40}{space 1}    0.32{col 49}{space 3}0.747{col 57}{space 4}-.0376375{col 70}{space 3} .0524781
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0144083{col 29}{space 2} .0214668{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4}-.0276658{col 70}{space 3} .0564824
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0378005{col 29}{space 2} .0257567{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4}-.0882827{col 70}{space 3} .0126818
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4253402{col 29}{space 2} .2472631{col 40}{space 1}    1.72{col 49}{space 3}0.085{col 57}{space 4}-.0592866{col 70}{space 3} .9099669
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0701514{col 29}{space 2} .0591177{col 40}{space 1}   -1.19{col 49}{space 3}0.235{col 57}{space 4}-.1860201{col 70}{space 3} .0457172
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.380618{col 29}{space 2} .6027563{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 1.199237{col 70}{space 3} 3.561998
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.5730251{col 29}{space 2} .0560725{col 40}{space 1}  -10.22{col 49}{space 3}0.000{col 57}{space 4}-.6829251{col 70}{space 3}-.4631251
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0353346{col 29}{space 2}  .004556{col 40}{space 1}    7.76{col 49}{space 3}0.000{col 57}{space 4} .0264051{col 70}{space 3} .0442641
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0006513{col 29}{space 2} .0001021{col 40}{space 1}   -6.38{col 49}{space 3}0.000{col 57}{space 4}-.0008514{col 70}{space 3}-.0004513
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-15.09867{col 29}{space 2} 1.439774{col 40}{space 1}  -10.49{col 49}{space 3}0.000{col 57}{space 4}-17.92057{col 70}{space 3}-12.27676
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -221.0399}  
Iteration 1:{space 3}log pseudolikelihood = {res:-155.76807}  
Iteration 2:{space 3}log pseudolikelihood = {res:-140.47987}  
Iteration 3:{space 3}log pseudolikelihood = {res:-134.04262}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.70691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.69987}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.69986}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     54.62
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-133.69986{txt}{col 51}Pseudo R2{col 67}= {res}    0.3951

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2} -.024356{col 40}{space 2} .0115552{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4}-.0470038{col 81}{space 3}-.0017082
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .9726069{col 40}{space 2} 1.278507{col 51}{space 1}    0.76{col 60}{space 3}0.447{col 68}{space 4}-1.533222{col 81}{space 3} 3.478435
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1150306{col 40}{space 2}    .7546{col 51}{space 1}   -0.15{col 60}{space 3}0.879{col 68}{space 4}-1.594019{col 81}{space 3} 1.363958
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.071879{col 40}{space 2} .9337821{col 51}{space 1}   -1.15{col 60}{space 3}0.251{col 68}{space 4}-2.902058{col 81}{space 3} .7583006
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.661684{col 40}{space 2} .7639335{col 51}{space 1}   -3.48{col 60}{space 3}0.000{col 68}{space 4}-4.158966{col 81}{space 3}-1.164402
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.295596{col 40}{space 2}  1.38054{col 51}{space 1}   -0.94{col 60}{space 3}0.348{col 68}{space 4}-4.001405{col 81}{space 3} 1.410214
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.774307{col 40}{space 2}  .984332{col 51}{space 1}    1.80{col 60}{space 3}0.071{col 68}{space 4}-.1549484{col 81}{space 3} 3.703562
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0305183{col 40}{space 2}  .099364{col 51}{space 1}    0.31{col 60}{space 3}0.759{col 68}{space 4}-.1642316{col 81}{space 3} .2252682
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1063879{col 40}{space 2} .1313673{col 51}{space 1}    0.81{col 60}{space 3}0.418{col 68}{space 4}-.1510873{col 81}{space 3} .3638631
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-1.906855{col 40}{space 2} 1.232396{col 51}{space 1}   -1.55{col 60}{space 3}0.122{col 68}{space 4}-4.322308{col 81}{space 3}  .508597
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.6474339{col 40}{space 2} .9993068{col 51}{space 1}   -0.65{col 60}{space 3}0.517{col 68}{space 4}-2.606039{col 81}{space 3} 1.311172
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.220087{col 40}{space 2} 1.106027{col 51}{space 1}    2.01{col 60}{space 3}0.045{col 68}{space 4} .0523139{col 81}{space 3} 4.387861
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.870624{col 40}{space 2} 1.220326{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4}-.5211715{col 81}{space 3}  4.26242
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-155.5878{col 40}{space 2} 209.3727{col 51}{space 1}   -0.74{col 60}{space 3}0.457{col 68}{space 4}-565.9507{col 81}{space 3} 254.7752
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.1236693{col 40}{space 2} .8928611{col 51}{space 1}   -0.14{col 60}{space 3}0.890{col 68}{space 4}-1.873645{col 81}{space 3} 1.626306
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .2242012{col 40}{space 2} .2036803{col 51}{space 1}    1.10{col 60}{space 3}0.271{col 68}{space 4}-.1750048{col 81}{space 3} .6234073
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0490054{col 40}{space 2}  .084474{col 51}{space 1}   -0.58{col 60}{space 3}0.562{col 68}{space 4}-.2145715{col 81}{space 3} .1165607
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0936938{col 40}{space 2} .0780007{col 51}{space 1}   -1.20{col 60}{space 3}0.230{col 68}{space 4}-.2465723{col 81}{space 3} .0591847
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.1854241{col 40}{space 2} .8049145{col 51}{space 1}   -0.23{col 60}{space 3}0.818{col 68}{space 4}-1.763028{col 81}{space 3} 1.392179
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1673706{col 40}{space 2}  .133457{col 51}{space 1}    1.25{col 60}{space 3}0.210{col 68}{space 4}-.0942003{col 81}{space 3} .4289415
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .0858478{col 40}{space 2} .5968286{col 51}{space 1}    0.14{col 60}{space 3}0.886{col 68}{space 4}-1.083915{col 81}{space 3}  1.25561
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-6.783414{col 40}{space 2} 3.610459{col 51}{space 1}   -1.88{col 60}{space 3}0.060{col 68}{space 4}-13.85978{col 81}{space 3} .2929556
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat_overtn AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -4876.533}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3524.676}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3005.4462}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2889.9503}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2887.2116}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2887.1942}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2887.1942}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2159.71
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2887.1942{txt}{col 51}Pseudo R2{col 67}= {res}    0.4079

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0083917{col 29}{space 2} .0038388{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .0008679{col 70}{space 3} .0159156
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1032767{col 29}{space 2} .5125072{col 40}{space 1}    0.20{col 49}{space 3}0.840{col 57}{space 4}-.9012189{col 70}{space 3} 1.107772
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.0383472{col 29}{space 2} .5038056{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}-1.025788{col 70}{space 3} .9490936
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.4156224{col 29}{space 2}  .187288{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4}-.7827002{col 70}{space 3}-.0485446
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5046863{col 29}{space 2} .3574783{col 40}{space 1}   -1.41{col 49}{space 3}0.158{col 57}{space 4}-1.205331{col 70}{space 3} .1959583
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.673879{col 29}{space 2}  .393665{col 40}{space 1}    6.79{col 49}{space 3}0.000{col 57}{space 4}  1.90231{col 70}{space 3} 3.445448
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 12.62967{col 29}{space 2} 6.985647{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}-1.061944{col 70}{space 3} 26.32129
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.743067{col 29}{space 2} .4470859{col 40}{space 1}   10.61{col 49}{space 3}0.000{col 57}{space 4} 3.866795{col 70}{space 3}  5.61934
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0074203{col 29}{space 2} .0229891{col 40}{space 1}    0.32{col 49}{space 3}0.747{col 57}{space 4}-.0376375{col 70}{space 3} .0524781
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0144083{col 29}{space 2} .0214668{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4}-.0276658{col 70}{space 3} .0564824
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0378005{col 29}{space 2} .0257567{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4}-.0882827{col 70}{space 3} .0126818
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4253402{col 29}{space 2} .2472631{col 40}{space 1}    1.72{col 49}{space 3}0.085{col 57}{space 4}-.0592866{col 70}{space 3} .9099669
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0701514{col 29}{space 2} .0591177{col 40}{space 1}   -1.19{col 49}{space 3}0.235{col 57}{space 4}-.1860201{col 70}{space 3} .0457172
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.380618{col 29}{space 2} .6027563{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 1.199237{col 70}{space 3} 3.561998
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.5730251{col 29}{space 2} .0560725{col 40}{space 1}  -10.22{col 49}{space 3}0.000{col 57}{space 4}-.6829251{col 70}{space 3}-.4631251
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0353346{col 29}{space 2}  .004556{col 40}{space 1}    7.76{col 49}{space 3}0.000{col 57}{space 4} .0264051{col 70}{space 3} .0442641
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0006513{col 29}{space 2} .0001021{col 40}{space 1}   -6.38{col 49}{space 3}0.000{col 57}{space 4}-.0008514{col 70}{space 3}-.0004513
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-15.09867{col 29}{space 2} 1.439774{col 40}{space 1}  -10.49{col 49}{space 3}0.000{col 57}{space 4}-17.92057{col 70}{space 3}-12.27676
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -302.9375}  
Iteration 1:{space 3}log pseudolikelihood = {res:-223.17753}  
Iteration 2:{space 3}log pseudolikelihood = {res:-217.56094}  
Iteration 3:{space 3}log pseudolikelihood = {res: -217.4297}  
Iteration 4:{space 3}log pseudolikelihood = {res:-217.42956}  
Iteration 5:{space 3}log pseudolikelihood = {res:-217.42956}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     72.28
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-217.42956{txt}{col 51}Pseudo R2{col 67}= {res}    0.2823

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2} .0076686{col 40}{space 2} .0111548{col 51}{space 1}    0.69{col 60}{space 3}0.492{col 68}{space 4}-.0141945{col 81}{space 3} .0295317
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.019976{col 40}{space 2} 1.564452{col 51}{space 1}   -0.65{col 60}{space 3}0.514{col 68}{space 4}-4.086245{col 81}{space 3} 2.046294
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.362253{col 40}{space 2} .6393872{col 51}{space 1}   -0.57{col 60}{space 3}0.571{col 68}{space 4}-1.615429{col 81}{space 3}  .890923
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.122453{col 40}{space 2} .8463887{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .4635612{col 81}{space 3} 3.781344
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .5989809{col 40}{space 2} .7366965{col 51}{space 1}    0.81{col 60}{space 3}0.416{col 68}{space 4}-.8449178{col 81}{space 3}  2.04288
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  2.85274{col 40}{space 2} 1.155727{col 51}{space 1}    2.47{col 60}{space 3}0.014{col 68}{space 4}  .587556{col 81}{space 3} 5.117924
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.0914608{col 40}{space 2} .9782506{col 51}{space 1}   -0.09{col 60}{space 3}0.926{col 68}{space 4}-2.008797{col 81}{space 3} 1.825875
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.1403932{col 40}{space 2} .0922028{col 51}{space 1}   -1.52{col 60}{space 3}0.128{col 68}{space 4}-.3211074{col 81}{space 3}  .040321
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0603187{col 40}{space 2} .0879655{col 51}{space 1}   -0.69{col 60}{space 3}0.493{col 68}{space 4}-.2327279{col 81}{space 3} .1120905
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} 1.208251{col 40}{space 2} 1.037534{col 51}{space 1}    1.16{col 60}{space 3}0.244{col 68}{space 4}-.8252786{col 81}{space 3} 3.241781
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.1364451{col 40}{space 2} .5734863{col 51}{space 1}   -0.24{col 60}{space 3}0.812{col 68}{space 4}-1.260458{col 81}{space 3} .9875674
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.515224{col 40}{space 2} .9170317{col 51}{space 1}    1.65{col 60}{space 3}0.098{col 68}{space 4}-.2821249{col 81}{space 3} 3.312573
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .5107606{col 40}{space 2} .7461479{col 51}{space 1}    0.68{col 60}{space 3}0.494{col 68}{space 4}-.9516624{col 81}{space 3} 1.973184
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-29.06922{col 40}{space 2} 23.85649{col 51}{space 1}   -1.22{col 60}{space 3}0.223{col 68}{space 4}-75.82709{col 81}{space 3} 17.68865
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.187912{col 40}{space 2} .5137375{col 51}{space 1}   -4.26{col 60}{space 3}0.000{col 68}{space 4}-3.194819{col 81}{space 3}-1.181005
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1442278{col 40}{space 2}    .0528{col 51}{space 1}   -2.73{col 60}{space 3}0.006{col 68}{space 4} -.247714{col 81}{space 3}-.0407417
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0634996{col 40}{space 2} .0523071{col 51}{space 1}   -1.21{col 60}{space 3}0.225{col 68}{space 4}-.1660196{col 81}{space 3} .0390204
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.087096{col 40}{space 2} .0554963{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-.1958668{col 81}{space 3} .0216748
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.5974572{col 40}{space 2} .4833634{col 51}{space 1}   -1.24{col 60}{space 3}0.216{col 68}{space 4}-1.544832{col 81}{space 3} .3499176
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  .291698{col 40}{space 2} .1010294{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4}  .093684{col 81}{space 3} .4897121
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.3383779{col 40}{space 2} .6119636{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4}-1.537804{col 81}{space 3} .8610487
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -2.47134{col 40}{space 2} 2.412479{col 51}{space 1}   -1.02{col 60}{space 3}0.306{col 68}{space 4}-7.199711{col 81}{space 3} 2.257032
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 5****
. *Models 1 and 2*
. heckprob imposition FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat_overtn=FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o) vce(cluster dyadid)

{txt}Fitting probit model:

note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-448.86833}  
Iteration 1:{space 3}log pseudolikelihood = {res:-392.68225}  
Iteration 2:{space 3}log pseudolikelihood = {res:-392.47261}  
Iteration 3:{space 3}log pseudolikelihood = {res: -392.4726}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5026.5705}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4060.7945}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2821.3082}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2792.0558}  
Iteration 4:{space 3}log pseudolikelihood = {res: -2791.639}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2791.6388}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-466.48805}  
Iteration 1:{space 3}log pseudolikelihood = {res:-390.57929}  
Iteration 2:{space 3}log pseudolikelihood = {res:-390.23103}  
Iteration 3:{space 3}log pseudolikelihood = {res:-390.19854}  
Iteration 4:{space 3}log pseudolikelihood = {res:-390.19429}  
Iteration 5:{space 3}log pseudolikelihood = {res:-390.19359}  
Iteration 6:{space 3}log pseudolikelihood = {res: -390.1935}  
Iteration 7:{space 3}log pseudolikelihood = {res:-390.19348}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3182.0568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3181.8276}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3181.8268}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3181.8268}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   434270
{txt}                                                Censored obs       = {res}   433597
                                                {txt}Uncensored obs     = {res}      673

{col 49}{help j_robustsingular##|_new:Wald chi2(12){col 68}= }{col 70}        .
{txt}Log pseudolikelihood = {res}-3181.827                {txt}Prob > chi2        =    {res}     .

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0886955{col 29}{space 2} .0378262{col 40}{space 1}    2.34{col 49}{space 3}0.019{col 57}{space 4} .0145575{col 70}{space 3} .1628334
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6398459{col 29}{space 2} .5954948{col 40}{space 1}    1.07{col 49}{space 3}0.283{col 57}{space 4}-.5273023{col 70}{space 3} 1.806994
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-5.242766{col 29}{space 2} .5406493{col 40}{space 1}   -9.70{col 49}{space 3}0.000{col 57}{space 4}-6.302419{col 70}{space 3}-4.183113
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2987691{col 29}{space 2} .1793952{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4} -.052839{col 70}{space 3} .6503772
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.013138{col 29}{space 2} .2566616{col 40}{space 1}   -3.95{col 49}{space 3}0.000{col 57}{space 4}-1.516186{col 70}{space 3}-.5100906
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7715396{col 29}{space 2} .3227081{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .1390433{col 70}{space 3} 1.404036
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  6.12213{col 29}{space 2} 10.91927{col 40}{space 1}    0.56{col 49}{space 3}0.575{col 57}{space 4}-15.27924{col 70}{space 3}  27.5235
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.031503{col 29}{space 2} .3814999{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} .2837771{col 70}{space 3} 1.779229
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0013969{col 29}{space 2} .0209208{col 40}{space 1}   -0.07{col 49}{space 3}0.947{col 57}{space 4}-.0424009{col 70}{space 3} .0396071
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0266676{col 29}{space 2} .0216564{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4}-.0157782{col 70}{space 3} .0691134
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0321575{col 29}{space 2} .0215205{col 40}{space 1}    1.49{col 49}{space 3}0.135{col 57}{space 4}-.0100219{col 70}{space 3} .0743369
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0551317{col 29}{space 2} .2011752{col 40}{space 1}    0.27{col 49}{space 3}0.784{col 57}{space 4}-.3391645{col 70}{space 3} .4494279
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1278222{col 29}{space 2} .0473555{col 40}{space 1}   -2.70{col 49}{space 3}0.007{col 57}{space 4}-.2206373{col 70}{space 3}-.0350072
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .2485131{col 29}{space 2} .3079328{col 40}{space 1}    0.81{col 49}{space 3}0.420{col 57}{space 4} -.355024{col 70}{space 3} .8520503
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.217625{col 29}{space 2} 1.852012{col 40}{space 1}    0.66{col 49}{space 3}0.511{col 57}{space 4}-2.412252{col 70}{space 3} 4.847503
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat_overtn   {txt}{c |}
{space 8}FinOpen {c |}{col 17}{res}{space 2}  .036886{col 29}{space 2} .0288865{col 40}{space 1}    1.28{col 49}{space 3}0.202{col 57}{space 4}-.0197305{col 70}{space 3} .0935024
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1640656{col 29}{space 2} .2093784{col 40}{space 1}    0.78{col 49}{space 3}0.433{col 57}{space 4}-.2463085{col 70}{space 3} .5744398
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .3775973{col 29}{space 2} .2143578{col 40}{space 1}    1.76{col 49}{space 3}0.078{col 57}{space 4}-.0425362{col 70}{space 3} .7977308
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1678552{col 29}{space 2} .0742464{col 40}{space 1}   -2.26{col 49}{space 3}0.024{col 57}{space 4}-.3133756{col 70}{space 3}-.0223349
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2} -.200221{col 29}{space 2} .1125462{col 40}{space 1}   -1.78{col 49}{space 3}0.075{col 57}{space 4}-.4208075{col 70}{space 3} .0203655
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.136916{col 29}{space 2} .1394034{col 40}{space 1}    8.16{col 49}{space 3}0.000{col 57}{space 4}   .86369{col 70}{space 3} 1.410141
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 6.132394{col 29}{space 2} 3.131869{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4}-.0059567{col 70}{space 3} 12.27074
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 2.127755{col 29}{space 2} .1522977{col 40}{space 1}   13.97{col 49}{space 3}0.000{col 57}{space 4} 1.829257{col 70}{space 3} 2.426253
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  .007705{col 29}{space 2} .0069312{col 40}{space 1}    1.11{col 49}{space 3}0.266{col 57}{space 4}-.0058799{col 70}{space 3}   .02129
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0148064{col 29}{space 2} .0064365{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4}  .002191{col 70}{space 3} .0274218
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0275813{col 29}{space 2} .0116439{col 40}{space 1}   -2.37{col 49}{space 3}0.018{col 57}{space 4} -.050403{col 70}{space 3}-.0047596
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0701759{col 29}{space 2} .0821577{col 40}{space 1}    0.85{col 49}{space 3}0.393{col 57}{space 4}-.0908501{col 70}{space 3} .2312019
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0367238{col 29}{space 2} .0163428{col 40}{space 1}   -2.25{col 49}{space 3}0.025{col 57}{space 4}-.0687551{col 70}{space 3}-.0046926
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.008142{col 29}{space 2}  .168889{col 40}{space 1}    5.97{col 49}{space 3}0.000{col 57}{space 4} .6771253{col 70}{space 3} 1.339158
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.2091613{col 29}{space 2} .0236705{col 40}{space 1}   -8.84{col 49}{space 3}0.000{col 57}{space 4}-.2555546{col 70}{space 3} -.162768
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0117122{col 29}{space 2} .0017471{col 40}{space 1}    6.70{col 49}{space 3}0.000{col 57}{space 4}  .008288{col 70}{space 3} .0151365
{txt}threat_years3_o {c |}{col 17}{res}{space 2}-.0002035{col 29}{space 2} .0000379{col 40}{space 1}   -5.37{col 49}{space 3}0.000{col 57}{space 4}-.0002777{col 70}{space 3}-.0001293
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-6.627947{col 29}{space 2} .5134152{col 40}{space 1}  -12.91{col 49}{space 3}0.000{col 57}{space 4}-7.634223{col 70}{space 3}-5.621672
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .3676073{col 29}{space 2} .2046472{col 40}{space 1}    1.80{col 49}{space 3}0.072{col 57}{space 4} -.033494{col 70}{space 3} .7687085
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2}  .351897{col 29}{space 2} .1793055{col 57}{space 4}-.0334814{col 70}{space 3} .6461778
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    3.23   {txt}Prob > chi2 = {res}0.0724
{txt}
{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat_overtn FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5026.5705}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3450.3109}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2879.6953}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2795.6718}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2794.0863}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2794.0769}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2794.0769}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2351.62
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2794.0769{txt}{col 51}Pseudo R2{col 67}= {res}    0.4441

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0526335{col 29}{space 2}  .073145{col 40}{space 1}    0.72{col 49}{space 3}0.472{col 57}{space 4}-.0907282{col 70}{space 3} .1959951
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}  .386514{col 29}{space 2}  .501818{col 40}{space 1}    0.77{col 49}{space 3}0.441{col 57}{space 4}-.5970312{col 70}{space 3} 1.370059
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.125931{col 29}{space 2} .5318846{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0834559{col 70}{space 3} 2.168405
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.5352502{col 29}{space 2} .1776704{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4}-.8834778{col 70}{space 3}-.1870225
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.4109029{col 29}{space 2} .3061163{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4} -1.01088{col 70}{space 3}  .189074
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 3.034857{col 29}{space 2} .3966925{col 40}{space 1}    7.65{col 49}{space 3}0.000{col 57}{space 4} 2.257354{col 70}{space 3}  3.81236
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 14.00757{col 29}{space 2} 7.016725{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} .2550377{col 70}{space 3} 27.76009
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.542834{col 29}{space 2}  .436098{col 40}{space 1}   12.71{col 49}{space 3}0.000{col 57}{space 4} 4.688097{col 70}{space 3}  6.39757
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0232966{col 29}{space 2} .0232202{col 40}{space 1}    1.00{col 49}{space 3}0.316{col 57}{space 4}-.0222142{col 70}{space 3} .0688074
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .052636{col 29}{space 2} .0230285{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4}  .007501{col 70}{space 3}  .097771
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0949962{col 29}{space 2} .0300848{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4}-.1539614{col 70}{space 3}-.0360311
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0882648{col 29}{space 2} .2228175{col 40}{space 1}    0.40{col 49}{space 3}0.692{col 57}{space 4}-.3484494{col 70}{space 3}  .524979
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1155536{col 29}{space 2} .0475548{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4}-.2087593{col 70}{space 3}-.0223479
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.253831{col 29}{space 2} .5699677{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 1.136715{col 70}{space 3} 3.370947
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.4758547{col 29}{space 2} .0617696{col 40}{space 1}   -7.70{col 49}{space 3}0.000{col 57}{space 4} -.596921{col 70}{space 3}-.3547885
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0276072{col 29}{space 2} .0045553{col 40}{space 1}    6.06{col 49}{space 3}0.000{col 57}{space 4}  .018679{col 70}{space 3} .0365354
{txt}threat_years3_o {c |}{col 17}{res}{space 2} -.000491{col 29}{space 2} .0000981{col 40}{space 1}   -5.00{col 49}{space 3}0.000{col 57}{space 4}-.0006833{col 70}{space 3}-.0002987
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-17.06436{col 29}{space 2} 1.396878{col 40}{space 1}  -12.22{col 49}{space 3}0.000{col 57}{space 4}-19.80219{col 70}{space 3}-14.32653
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-469.78473}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.81305}  
Iteration 3:{space 3}log pseudolikelihood = {res:-468.80976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-468.80976}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       824
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.68
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-468.80976{txt}{col 51}Pseudo R2{col 67}= {res}    0.0928

{txt}{ralign 79:(Std. Err. adjusted for {res:226} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1570316{col 27}{space 2} .0633176{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0329314{col 68}{space 3} .2811317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4977986{col 27}{space 2} .8895492{col 38}{space 1}    0.56{col 47}{space 3}0.576{col 55}{space 4}-1.245686{col 68}{space 3} 2.241283
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .3736507{col 27}{space 2} .2566823{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.1294374{col 68}{space 3} .8767387
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.254141{col 27}{space 2} .3889421{col 38}{space 1}   -3.22{col 47}{space 3}0.001{col 55}{space 4}-2.016453{col 68}{space 3}-.4918283
{txt}igomember_log {c |}{col 15}{res}{space 2} .8750323{col 27}{space 2}    .4971{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.0992658{col 68}{space 3}  1.84933
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.983304{col 27}{space 2}  9.67426{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-27.94451{col 68}{space 3} 9.977897
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.018889{col 27}{space 2}  .397251{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .2402914{col 68}{space 3} 1.797487
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0086126{col 27}{space 2} .0329871{col 38}{space 1}   -0.26{col 47}{space 3}0.794{col 55}{space 4}-.0732662{col 68}{space 3}  .056041
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0315902{col 27}{space 2} .0308581{col 38}{space 1}    1.02{col 47}{space 3}0.306{col 55}{space 4}-.0288906{col 68}{space 3}  .092071
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0609774{col 27}{space 2} .0384475{col 38}{space 1}    1.59{col 47}{space 3}0.113{col 55}{space 4}-.0143783{col 68}{space 3}  .136333
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1241553{col 27}{space 2} .3106694{col 38}{space 1}   -0.40{col 47}{space 3}0.689{col 55}{space 4} -.733056{col 68}{space 3} .4847455
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2076663{col 27}{space 2} .0771444{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.3588665{col 68}{space 3} -.056466
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} -.292859{col 27}{space 2} .4633868{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4} -1.20108{col 68}{space 3} .6153623
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.813812{col 27}{space 2} 1.729668{col 38}{space 1}   -2.20{col 47}{space 3}0.027{col 55}{space 4}-7.203899{col 68}{space 3}-.4237259
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat_overtn FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5026.5705}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3450.3109}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2879.6953}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2795.6718}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2794.0863}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2794.0769}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2794.0769}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2351.62
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2794.0769{txt}{col 51}Pseudo R2{col 67}= {res}    0.4441

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0526335{col 29}{space 2}  .073145{col 40}{space 1}    0.72{col 49}{space 3}0.472{col 57}{space 4}-.0907282{col 70}{space 3} .1959951
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}  .386514{col 29}{space 2}  .501818{col 40}{space 1}    0.77{col 49}{space 3}0.441{col 57}{space 4}-.5970312{col 70}{space 3} 1.370059
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.125931{col 29}{space 2} .5318846{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0834559{col 70}{space 3} 2.168405
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.5352502{col 29}{space 2} .1776704{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4}-.8834778{col 70}{space 3}-.1870225
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.4109029{col 29}{space 2} .3061163{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4} -1.01088{col 70}{space 3}  .189074
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 3.034857{col 29}{space 2} .3966925{col 40}{space 1}    7.65{col 49}{space 3}0.000{col 57}{space 4} 2.257354{col 70}{space 3}  3.81236
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 14.00757{col 29}{space 2} 7.016725{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} .2550377{col 70}{space 3} 27.76009
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.542834{col 29}{space 2}  .436098{col 40}{space 1}   12.71{col 49}{space 3}0.000{col 57}{space 4} 4.688097{col 70}{space 3}  6.39757
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0232966{col 29}{space 2} .0232202{col 40}{space 1}    1.00{col 49}{space 3}0.316{col 57}{space 4}-.0222142{col 70}{space 3} .0688074
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .052636{col 29}{space 2} .0230285{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4}  .007501{col 70}{space 3}  .097771
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0949962{col 29}{space 2} .0300848{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4}-.1539614{col 70}{space 3}-.0360311
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0882648{col 29}{space 2} .2228175{col 40}{space 1}    0.40{col 49}{space 3}0.692{col 57}{space 4}-.3484494{col 70}{space 3}  .524979
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1155536{col 29}{space 2} .0475548{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4}-.2087593{col 70}{space 3}-.0223479
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.253831{col 29}{space 2} .5699677{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 1.136715{col 70}{space 3} 3.370947
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.4758547{col 29}{space 2} .0617696{col 40}{space 1}   -7.70{col 49}{space 3}0.000{col 57}{space 4} -.596921{col 70}{space 3}-.3547885
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0276072{col 29}{space 2} .0045553{col 40}{space 1}    6.06{col 49}{space 3}0.000{col 57}{space 4}  .018679{col 70}{space 3} .0365354
{txt}threat_years3_o {c |}{col 17}{res}{space 2} -.000491{col 29}{space 2} .0000981{col 40}{space 1}   -5.00{col 49}{space 3}0.000{col 57}{space 4}-.0006833{col 70}{space 3}-.0002987
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-17.06436{col 29}{space 2} 1.396878{col 40}{space 1}  -12.22{col 49}{space 3}0.000{col 57}{space 4}-19.80219{col 70}{space 3}-14.32653
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat  BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-251.20638}  
Iteration 1:{space 3}log pseudolikelihood = {res:-155.89275}  
Iteration 2:{space 3}log pseudolikelihood = {res:-138.66704}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.66084}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.39536}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.39123}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.39123}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}     61.94
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.39123{txt}{col 51}Pseudo R2{col 67}= {res}    0.4690

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2}-.4219914{col 40}{space 2} .1959597{col 51}{space 1}   -2.15{col 60}{space 3}0.031{col 68}{space 4}-.8060654{col 81}{space 3}-.0379174
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.780718{col 40}{space 2} 1.226071{col 51}{space 1}    2.27{col 60}{space 3}0.023{col 68}{space 4} .3776643{col 81}{space 3} 5.183773
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.2194049{col 40}{space 2} .7127403{col 51}{space 1}   -0.31{col 60}{space 3}0.758{col 68}{space 4} -1.61635{col 81}{space 3}  1.17754
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} -3.15633{col 40}{space 2} 1.422868{col 51}{space 1}   -2.22{col 60}{space 3}0.027{col 68}{space 4}  -5.9451{col 81}{space 3}-.3675604
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.883329{col 40}{space 2} .7518467{col 51}{space 1}   -3.83{col 60}{space 3}0.000{col 68}{space 4}-4.356921{col 81}{space 3}-1.409736
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -1.76616{col 40}{space 2} 1.201839{col 51}{space 1}   -1.47{col 60}{space 3}0.142{col 68}{space 4}-4.121722{col 81}{space 3} .5894014
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.421772{col 40}{space 2} 1.003006{col 51}{space 1}    1.42{col 60}{space 3}0.156{col 68}{space 4}-.5440826{col 81}{space 3} 3.387627
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}  .001095{col 40}{space 2} .0944362{col 51}{space 1}    0.01{col 60}{space 3}0.991{col 68}{space 4}-.1839966{col 81}{space 3} .1861867
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0080764{col 40}{space 2} .1379791{col 51}{space 1}   -0.06{col 60}{space 3}0.953{col 68}{space 4}-.2785105{col 81}{space 3} .2623578
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.8060087{col 40}{space 2} .9945547{col 51}{space 1}   -0.81{col 60}{space 3}0.418{col 68}{space 4}  -2.7553{col 81}{space 3} 1.143283
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.134953{col 40}{space 2} 1.109977{col 51}{space 1}    1.92{col 60}{space 3}0.054{col 68}{space 4}-.0405616{col 81}{space 3} 4.310468
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.848125{col 40}{space 2} 1.390142{col 51}{space 1}    1.33{col 60}{space 3}0.184{col 68}{space 4}-.8765034{col 81}{space 3} 4.572753
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-119.8383{col 40}{space 2} 167.0909{col 51}{space 1}   -0.72{col 60}{space 3}0.473{col 68}{space 4}-447.3304{col 81}{space 3} 207.6537
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.7518805{col 40}{space 2} .8445737{col 51}{space 1}   -0.89{col 60}{space 3}0.373{col 68}{space 4}-2.407214{col 81}{space 3} .9034534
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1830689{col 40}{space 2} .1187356{col 51}{space 1}    1.54{col 60}{space 3}0.123{col 68}{space 4}-.0496486{col 81}{space 3} .4157863
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1331691{col 40}{space 2} .0974904{col 51}{space 1}   -1.37{col 60}{space 3}0.172{col 68}{space 4}-.3242469{col 81}{space 3} .0579086
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.004851{col 40}{space 2} .0777098{col 51}{space 1}   -0.06{col 60}{space 3}0.950{col 68}{space 4}-.1571594{col 81}{space 3} .1474575
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .2072401{col 40}{space 2} .8312161{col 51}{space 1}    0.25{col 60}{space 3}0.803{col 68}{space 4}-1.421913{col 81}{space 3} 1.836394
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2355717{col 40}{space 2} .1531362{col 51}{space 1}    1.54{col 60}{space 3}0.124{col 68}{space 4}-.0645696{col 81}{space 3} .5357131
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.1143537{col 40}{space 2} .6149999{col 51}{space 1}   -0.19{col 60}{space 3}0.852{col 68}{space 4}-1.319731{col 81}{space 3} 1.091024
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-10.09849{col 40}{space 2} 5.013912{col 51}{space 1}   -2.01{col 60}{space 3}0.044{col 68}{space 4}-19.92558{col 81}{space 3}-.2714073
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat_overtn FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_o threat_years2_o threat_years3_o, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5026.5705}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3450.3109}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2879.6953}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2795.6718}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2794.0863}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2794.0769}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2794.0769}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2351.62
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2794.0769{txt}{col 51}Pseudo R2{col 67}= {res}    0.4441

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  threat_overtn{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0526335{col 29}{space 2}  .073145{col 40}{space 1}    0.72{col 49}{space 3}0.472{col 57}{space 4}-.0907282{col 70}{space 3} .1959951
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}  .386514{col 29}{space 2}  .501818{col 40}{space 1}    0.77{col 49}{space 3}0.441{col 57}{space 4}-.5970312{col 70}{space 3} 1.370059
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.125931{col 29}{space 2} .5318846{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0834559{col 70}{space 3} 2.168405
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.5352502{col 29}{space 2} .1776704{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4}-.8834778{col 70}{space 3}-.1870225
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.4109029{col 29}{space 2} .3061163{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4} -1.01088{col 70}{space 3}  .189074
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 3.034857{col 29}{space 2} .3966925{col 40}{space 1}    7.65{col 49}{space 3}0.000{col 57}{space 4} 2.257354{col 70}{space 3}  3.81236
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 14.00757{col 29}{space 2} 7.016725{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} .2550377{col 70}{space 3} 27.76009
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.542834{col 29}{space 2}  .436098{col 40}{space 1}   12.71{col 49}{space 3}0.000{col 57}{space 4} 4.688097{col 70}{space 3}  6.39757
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0232966{col 29}{space 2} .0232202{col 40}{space 1}    1.00{col 49}{space 3}0.316{col 57}{space 4}-.0222142{col 70}{space 3} .0688074
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .052636{col 29}{space 2} .0230285{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4}  .007501{col 70}{space 3}  .097771
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0949962{col 29}{space 2} .0300848{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4}-.1539614{col 70}{space 3}-.0360311
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0882648{col 29}{space 2} .2228175{col 40}{space 1}    0.40{col 49}{space 3}0.692{col 57}{space 4}-.3484494{col 70}{space 3}  .524979
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1155536{col 29}{space 2} .0475548{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4}-.2087593{col 70}{space 3}-.0223479
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.253831{col 29}{space 2} .5699677{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 1.136715{col 70}{space 3} 3.370947
{txt}{space 1}threat_years_o {c |}{col 17}{res}{space 2}-.4758547{col 29}{space 2} .0617696{col 40}{space 1}   -7.70{col 49}{space 3}0.000{col 57}{space 4} -.596921{col 70}{space 3}-.3547885
{txt}threat_years2_o {c |}{col 17}{res}{space 2} .0276072{col 29}{space 2} .0045553{col 40}{space 1}    6.06{col 49}{space 3}0.000{col 57}{space 4}  .018679{col 70}{space 3} .0365354
{txt}threat_years3_o {c |}{col 17}{res}{space 2} -.000491{col 29}{space 2} .0000981{col 40}{space 1}   -5.00{col 49}{space 3}0.000{col 57}{space 4}-.0006833{col 70}{space 3}-.0002987
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-17.06436{col 29}{space 2} 1.396878{col 40}{space 1}  -12.22{col 49}{space 3}0.000{col 57}{space 4}-19.80219{col 70}{space 3}-14.32653
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat  BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-282.01611}  
Iteration 1:{space 3}log pseudolikelihood = {res:-201.54276}  
Iteration 2:{space 3}log pseudolikelihood = {res:-193.88679}  
Iteration 3:{space 3}log pseudolikelihood = {res:-193.54542}  
Iteration 4:{space 3}log pseudolikelihood = {res:-193.54422}  
Iteration 5:{space 3}log pseudolikelihood = {res:-193.54422}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}     80.50
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-193.54422{txt}{col 51}Pseudo R2{col 67}= {res}    0.3137

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2} .0287039{col 40}{space 2} .1475555{col 51}{space 1}    0.19{col 60}{space 3}0.846{col 68}{space 4}-.2604996{col 81}{space 3} .3179074
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.125537{col 40}{space 2} 1.289242{col 51}{space 1}   -0.87{col 60}{space 3}0.383{col 68}{space 4}-3.652404{col 81}{space 3} 1.401331
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.579995{col 40}{space 2} .6203927{col 51}{space 1}   -0.93{col 60}{space 3}0.350{col 68}{space 4}-1.795942{col 81}{space 3} .6359525
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 3.139929{col 40}{space 2} .7844627{col 51}{space 1}    4.00{col 60}{space 3}0.000{col 68}{space 4} 1.602411{col 81}{space 3} 4.677448
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .7862367{col 40}{space 2} .7051691{col 51}{space 1}    1.11{col 60}{space 3}0.265{col 68}{space 4}-.5958693{col 81}{space 3} 2.168343
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.280729{col 40}{space 2} .9784047{col 51}{space 1}    3.35{col 60}{space 3}0.001{col 68}{space 4} 1.363091{col 81}{space 3} 5.198367
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-1.819913{col 40}{space 2} 1.383736{col 51}{space 1}   -1.32{col 60}{space 3}0.188{col 68}{space 4}-4.531986{col 81}{space 3}   .89216
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0954412{col 40}{space 2} .0971162{col 51}{space 1}   -0.98{col 60}{space 3}0.326{col 68}{space 4}-.2857856{col 81}{space 3} .0949031
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}  .077673{col 40}{space 2} .0948068{col 51}{space 1}    0.82{col 60}{space 3}0.413{col 68}{space 4}-.1081449{col 81}{space 3}  .263491
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.0074208{col 40}{space 2} .5193312{col 51}{space 1}   -0.01{col 60}{space 3}0.989{col 68}{space 4}-1.025291{col 81}{space 3}  1.01045
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.604423{col 40}{space 2} 1.001564{col 51}{space 1}    1.60{col 60}{space 3}0.109{col 68}{space 4}-.3586059{col 81}{space 3} 3.567452
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .7358455{col 40}{space 2} .8651212{col 51}{space 1}    0.85{col 60}{space 3}0.395{col 68}{space 4}-.9597609{col 81}{space 3} 2.431452
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-57.70154{col 40}{space 2} 34.09142{col 51}{space 1}   -1.69{col 60}{space 3}0.091{col 68}{space 4}-124.5195{col 81}{space 3}  9.11641
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.557395{col 40}{space 2} .5163712{col 51}{space 1}   -3.02{col 60}{space 3}0.003{col 68}{space 4}-2.569464{col 81}{space 3}-.5453256
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1447357{col 40}{space 2} .0596958{col 51}{space 1}   -2.42{col 60}{space 3}0.015{col 68}{space 4}-.2617373{col 81}{space 3}-.0277342
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0206224{col 40}{space 2} .0637078{col 51}{space 1}   -0.32{col 60}{space 3}0.746{col 68}{space 4}-.1454874{col 81}{space 3} .1042426
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1497564{col 40}{space 2} .0564318{col 51}{space 1}   -2.65{col 60}{space 3}0.008{col 68}{space 4}-.2603606{col 81}{space 3}-.0391522
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.6145222{col 40}{space 2} .4760303{col 51}{space 1}   -1.29{col 60}{space 3}0.197{col 68}{space 4}-1.547525{col 81}{space 3} .3184801
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2506716{col 40}{space 2} .1165973{col 51}{space 1}    2.15{col 60}{space 3}0.032{col 68}{space 4} .0221451{col 81}{space 3}  .479198
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.1009029{col 40}{space 2} .5743881{col 51}{space 1}   -0.18{col 60}{space 3}0.861{col 68}{space 4}-1.226683{col 81}{space 3} 1.024877
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.694929{col 40}{space 2} 2.924491{col 51}{space 1}   -0.92{col 60}{space 3}0.357{col 68}{space 4}-8.426826{col 81}{space 3} 3.036967
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. 
. 
. ********************Different Specification Tables 11-17*************************
. ****Table 6****
. *Models 1 and 2*
. heckprob imposition MaxEducation BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=MaxEducation BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-641.00633}  
Iteration 1:{space 3}log pseudolikelihood = {res:-563.65611}  
Iteration 2:{space 3}log pseudolikelihood = {res:-563.30149}  
Iteration 3:{space 3}log pseudolikelihood = {res:-563.30146}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7597.2861}  
Iteration 1:{space 3}log pseudolikelihood = {res:-6238.2014}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4709.5614}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4685.6099}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4685.5424}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4685.5424}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-713.24845}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.09329}  
Iteration 2:{space 3}log pseudolikelihood = {res:-560.21776}  
Iteration 3:{space 3}log pseudolikelihood = {res:-560.21687}  
Iteration 4:{space 3}log pseudolikelihood = {res:-560.21687}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5248.2213}  
Iteration 1:{space 3}log pseudolikelihood = {res: -5245.924}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5245.8696}  
Iteration 3:{space 3}log pseudolikelihood = {res: -5245.853}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5245.8529}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   609480
{txt}                                                Censored obs       = {res}   608451
                                                {txt}Uncensored obs     = {res}     1029

                                                {txt}Wald chi2({res}14{txt})      = {res}   142.77
{txt}Log pseudolikelihood = {res}-5245.853                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:26126} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 3}MaxEducation {c |}{col 17}{res}{space 2}-.2753625{col 29}{space 2} .1114028{col 40}{space 1}   -2.47{col 49}{space 3}0.013{col 57}{space 4}-.4937079{col 70}{space 3}-.0570171
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3471318{col 29}{space 2} .4577423{col 40}{space 1}    0.76{col 49}{space 3}0.448{col 57}{space 4}-.5500265{col 70}{space 3}  1.24429
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-1.159586{col 29}{space 2} .3809799{col 40}{space 1}   -3.04{col 49}{space 3}0.002{col 57}{space 4}-1.906292{col 70}{space 3}-.4128787
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2963488{col 29}{space 2} .1368288{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .0281693{col 70}{space 3} .5645283
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7876062{col 29}{space 2} .1904049{col 40}{space 1}   -4.14{col 49}{space 3}0.000{col 57}{space 4}-1.160793{col 70}{space 3}-.4144195
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7477994{col 29}{space 2} .2054592{col 40}{space 1}    3.64{col 49}{space 3}0.000{col 57}{space 4} .3451067{col 70}{space 3} 1.150492
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 1.741817{col 29}{space 2} 5.721296{col 40}{space 1}    0.30{col 49}{space 3}0.761{col 57}{space 4}-9.471718{col 70}{space 3} 12.95535
{txt}{space 7}ussender {c |}{col 17}{res}{space 2}  1.49215{col 29}{space 2} .3039226{col 40}{space 1}    4.91{col 49}{space 3}0.000{col 57}{space 4} .8964722{col 70}{space 3} 2.087827
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0042027{col 29}{space 2} .0133355{col 40}{space 1}    0.32{col 49}{space 3}0.753{col 57}{space 4}-.0219344{col 70}{space 3} .0303399
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0379919{col 29}{space 2} .0130977{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4} .0123209{col 70}{space 3} .0636629
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0181267{col 29}{space 2} .0173441{col 40}{space 1}    1.05{col 49}{space 3}0.296{col 57}{space 4}-.0158671{col 70}{space 3} .0521205
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0075676{col 29}{space 2} .1620659{col 40}{space 1}    0.05{col 49}{space 3}0.963{col 57}{space 4}-.3100758{col 70}{space 3} .3252109
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1265557{col 29}{space 2}  .037346{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-.1997525{col 70}{space 3}-.0533588
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .3397578{col 29}{space 2} .2933641{col 40}{space 1}    1.16{col 49}{space 3}0.247{col 57}{space 4}-.2352253{col 70}{space 3} .9147409
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.555528{col 29}{space 2} .8372594{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-5.196526{col 70}{space 3} -1.91453
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 3}MaxEducation {c |}{col 17}{res}{space 2}-.0733645{col 29}{space 2} .0488944{col 40}{space 1}   -1.50{col 49}{space 3}0.133{col 57}{space 4}-.1691958{col 70}{space 3} .0224669
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1022071{col 29}{space 2} .1636188{col 40}{space 1}    0.62{col 49}{space 3}0.532{col 57}{space 4}-.2184799{col 70}{space 3} .4228941
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.2320872{col 29}{space 2} .0886028{col 40}{space 1}   -2.62{col 49}{space 3}0.009{col 57}{space 4}-.4057456{col 70}{space 3}-.0584288
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0227659{col 29}{space 2} .0608773{col 40}{space 1}   -0.37{col 49}{space 3}0.708{col 57}{space 4}-.1420832{col 70}{space 3} .0965513
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1058119{col 29}{space 2} .0968298{col 40}{space 1}   -1.09{col 49}{space 3}0.274{col 57}{space 4}-.2955947{col 70}{space 3} .0839709
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}    .5422{col 29}{space 2}  .130916{col 40}{space 1}    4.14{col 49}{space 3}0.000{col 57}{space 4} .2856093{col 70}{space 3} .7987907
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 13.49385{col 29}{space 2} 3.032043{col 40}{space 1}    4.45{col 49}{space 3}0.000{col 57}{space 4} 7.551152{col 70}{space 3} 19.43654
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.921465{col 29}{space 2}  .120135{col 40}{space 1}   15.99{col 49}{space 3}0.000{col 57}{space 4} 1.686004{col 70}{space 3} 2.156925
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  .015822{col 29}{space 2}  .005778{col 40}{space 1}    2.74{col 49}{space 3}0.006{col 57}{space 4} .0044972{col 70}{space 3} .0271467
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0174339{col 29}{space 2} .0056261{col 40}{space 1}    3.10{col 49}{space 3}0.002{col 57}{space 4} .0064069{col 70}{space 3} .0284609
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0225498{col 29}{space 2} .0093594{col 40}{space 1}   -2.41{col 49}{space 3}0.016{col 57}{space 4}-.0408939{col 70}{space 3}-.0042057
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .3063344{col 29}{space 2} .0808709{col 40}{space 1}    3.79{col 49}{space 3}0.000{col 57}{space 4} .1478304{col 70}{space 3} .4648384
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0154859{col 29}{space 2} .0138592{col 40}{space 1}   -1.12{col 49}{space 3}0.264{col 57}{space 4}-.0426495{col 70}{space 3} .0116776
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.127827{col 29}{space 2} .1484856{col 40}{space 1}    7.60{col 49}{space 3}0.000{col 57}{space 4} .8368009{col 70}{space 3} 1.418854
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.1498739{col 29}{space 2} .0163939{col 40}{space 1}   -9.14{col 49}{space 3}0.000{col 57}{space 4}-.1820054{col 70}{space 3}-.1177425
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0091562{col 29}{space 2} .0012175{col 40}{space 1}    7.52{col 49}{space 3}0.000{col 57}{space 4} .0067699{col 70}{space 3} .0115425
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0001717{col 29}{space 2} .0000268{col 40}{space 1}   -6.40{col 49}{space 3}0.000{col 57}{space 4}-.0002243{col 70}{space 3}-.0001191
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.274392{col 29}{space 2} .4180714{col 40}{space 1}  -10.22{col 49}{space 3}0.000{col 57}{space 4}-5.093797{col 70}{space 3}-3.454987
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2}  .500427{col 29}{space 2} .2419689{col 40}{space 1}    2.07{col 49}{space 3}0.039{col 57}{space 4} .0261767{col 70}{space 3} .9746773
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4624529{col 29}{space 2} .1902208{col 57}{space 4} .0261708{col 70}{space 3} .7507525
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    4.28   {txt}Prob > chi2 = {res}0.0386
{txt}
{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. *Model 3
. logit threat MaxEducation BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7597.2861}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5462.7134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4743.3196}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4671.5474}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4670.9615}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4670.9612}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    609480
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2618.85
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4670.9612{txt}{col 51}Pseudo R2{col 67}= {res}    0.3852

{txt}{ralign 81:(Std. Err. adjusted for {res:26126} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MaxEducation {c |}{col 17}{res}{space 2}-.1759515{col 29}{space 2} .1360294{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-.4425641{col 70}{space 3} .0906612
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2167441{col 29}{space 2} .4001085{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4}-.5674541{col 70}{space 3} 1.000942
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5372968{col 29}{space 2} .3029422{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4}-1.131053{col 70}{space 3} .0564589
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} -.039606{col 29}{space 2} .1502874{col 40}{space 1}   -0.26{col 49}{space 3}0.792{col 57}{space 4}-.3341639{col 70}{space 3}  .254952
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3288303{col 29}{space 2} .2744975{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-.8668356{col 70}{space 3} .2091749
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.673762{col 29}{space 2} .4389841{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8133686{col 70}{space 3} 2.534155
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.99218{col 29}{space 2} 5.681971{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4} 15.85572{col 70}{space 3} 38.12864
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.916904{col 29}{space 2}   .32812{col 40}{space 1}   14.99{col 49}{space 3}0.000{col 57}{space 4}   4.2738{col 70}{space 3} 5.560007
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0517084{col 29}{space 2} .0185068{col 40}{space 1}    2.79{col 49}{space 3}0.005{col 57}{space 4} .0154358{col 70}{space 3}  .087981
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0574119{col 29}{space 2} .0182835{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .0215769{col 70}{space 3} .0932469
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809101{col 29}{space 2} .0218217{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4}-.1236798{col 70}{space 3}-.0381404
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6246748{col 29}{space 2} .2301071{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .1736732{col 70}{space 3} 1.075676
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0719638{col 29}{space 2} .0418124{col 40}{space 1}   -1.72{col 49}{space 3}0.085{col 57}{space 4}-.1539146{col 70}{space 3} .0099869
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.549188{col 29}{space 2} .5364116{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4}  1.49784{col 70}{space 3} 3.600535
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3846866{col 29}{space 2} .0443136{col 40}{space 1}   -8.68{col 49}{space 3}0.000{col 57}{space 4}-.4715397{col 70}{space 3}-.2978335
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0245178{col 29}{space 2} .0032488{col 40}{space 1}    7.55{col 49}{space 3}0.000{col 57}{space 4} .0181503{col 70}{space 3} .0308853
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004757{col 29}{space 2} .0000718{col 40}{space 1}   -6.63{col 49}{space 3}0.000{col 57}{space 4}-.0006164{col 70}{space 3} -.000335
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.05811{col 29}{space 2} 1.448752{col 40}{space 1}   -7.63{col 49}{space 3}0.000{col 57}{space 4}-13.89761{col 70}{space 3} -8.21861
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition MaxEducation BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-641.00633}  
Iteration 1:{space 3}log pseudolikelihood = {res:-565.47783}  
Iteration 2:{space 3}log pseudolikelihood = {res:-563.80886}  
Iteration 3:{space 3}log pseudolikelihood = {res:-563.80761}  
Iteration 4:{space 3}log pseudolikelihood = {res:-563.80761}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1029
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     75.03
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-563.80761{txt}{col 51}Pseudo R2{col 67}= {res}    0.1204

{txt}{ralign 79:(Std. Err. adjusted for {res:283} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}MaxEducation {c |}{col 15}{res}{space 2} -.481054{col 27}{space 2} .2194708{col 38}{space 1}   -2.19{col 47}{space 3}0.028{col 55}{space 4}-.9112088{col 68}{space 3}-.0508992
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .5564623{col 27}{space 2} .8748253{col 38}{space 1}    0.64{col 47}{space 3}0.525{col 55}{space 4}-1.158164{col 68}{space 3} 2.271088
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-1.911002{col 27}{space 2} .6770335{col 38}{space 1}   -2.82{col 47}{space 3}0.005{col 55}{space 4}-3.237963{col 68}{space 3}-.5840405
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .5822306{col 27}{space 2} .2551191{col 38}{space 1}    2.28{col 47}{space 3}0.022{col 55}{space 4} .0822063{col 68}{space 3} 1.082255
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2} -1.33877{col 27}{space 2} .3600816{col 38}{space 1}   -3.72{col 47}{space 3}0.000{col 55}{space 4}-2.044516{col 68}{space 3}-.6330226
{txt}igomember_log {c |}{col 15}{res}{space 2} .9552769{col 27}{space 2} .3872899{col 38}{space 1}    2.47{col 47}{space 3}0.014{col 55}{space 4} .1962026{col 68}{space 3} 1.714351
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} -5.04778{col 27}{space 2} 8.307307{col 38}{space 1}   -0.61{col 47}{space 3}0.543{col 55}{space 4} -21.3298{col 68}{space 3} 11.23424
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.246938{col 27}{space 2} .3495092{col 38}{space 1}    3.57{col 47}{space 3}0.000{col 55}{space 4}  .561912{col 68}{space 3} 1.931963
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0006569{col 27}{space 2} .0257176{col 38}{space 1}   -0.03{col 47}{space 3}0.980{col 55}{space 4}-.0510624{col 68}{space 3} .0497486
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0571345{col 27}{space 2} .0266342{col 38}{space 1}    2.15{col 47}{space 3}0.032{col 55}{space 4} .0049325{col 68}{space 3} .1093365
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0545216{col 27}{space 2} .0348003{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.0136858{col 68}{space 3}  .122729
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1535748{col 27}{space 2} .2940395{col 38}{space 1}   -0.52{col 47}{space 3}0.601{col 55}{space 4}-.7298816{col 68}{space 3} .4227319
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2239602{col 27}{space 2} .0675322{col 38}{space 1}   -3.32{col 47}{space 3}0.001{col 55}{space 4}-.3563209{col 68}{space 3}-.0915995
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} -.160615{col 27}{space 2} .4134394{col 38}{space 1}   -0.39{col 47}{space 3}0.698{col 55}{space 4}-.9709414{col 68}{space 3} .6497113
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.397587{col 27}{space 2} .9976049{col 38}{space 1}   -2.40{col 47}{space 3}0.016{col 55}{space 4}-4.352857{col 68}{space 3}-.4423179
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat MaxEducation BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7597.2861}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5462.7134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4743.3196}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4671.5474}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4670.9615}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4670.9612}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    609480
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2618.85
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4670.9612{txt}{col 51}Pseudo R2{col 67}= {res}    0.3852

{txt}{ralign 81:(Std. Err. adjusted for {res:26126} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MaxEducation {c |}{col 17}{res}{space 2}-.1759515{col 29}{space 2} .1360294{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-.4425641{col 70}{space 3} .0906612
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2167441{col 29}{space 2} .4001085{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4}-.5674541{col 70}{space 3} 1.000942
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5372968{col 29}{space 2} .3029422{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4}-1.131053{col 70}{space 3} .0564589
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} -.039606{col 29}{space 2} .1502874{col 40}{space 1}   -0.26{col 49}{space 3}0.792{col 57}{space 4}-.3341639{col 70}{space 3}  .254952
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3288303{col 29}{space 2} .2744975{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-.8668356{col 70}{space 3} .2091749
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.673762{col 29}{space 2} .4389841{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8133686{col 70}{space 3} 2.534155
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.99218{col 29}{space 2} 5.681971{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4} 15.85572{col 70}{space 3} 38.12864
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.916904{col 29}{space 2}   .32812{col 40}{space 1}   14.99{col 49}{space 3}0.000{col 57}{space 4}   4.2738{col 70}{space 3} 5.560007
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0517084{col 29}{space 2} .0185068{col 40}{space 1}    2.79{col 49}{space 3}0.005{col 57}{space 4} .0154358{col 70}{space 3}  .087981
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0574119{col 29}{space 2} .0182835{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .0215769{col 70}{space 3} .0932469
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809101{col 29}{space 2} .0218217{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4}-.1236798{col 70}{space 3}-.0381404
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6246748{col 29}{space 2} .2301071{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .1736732{col 70}{space 3} 1.075676
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0719638{col 29}{space 2} .0418124{col 40}{space 1}   -1.72{col 49}{space 3}0.085{col 57}{space 4}-.1539146{col 70}{space 3} .0099869
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.549188{col 29}{space 2} .5364116{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4}  1.49784{col 70}{space 3} 3.600535
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3846866{col 29}{space 2} .0443136{col 40}{space 1}   -8.68{col 49}{space 3}0.000{col 57}{space 4}-.4715397{col 70}{space 3}-.2978335
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0245178{col 29}{space 2} .0032488{col 40}{space 1}    7.55{col 49}{space 3}0.000{col 57}{space 4} .0181503{col 70}{space 3} .0308853
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004757{col 29}{space 2} .0000718{col 40}{space 1}   -6.63{col 49}{space 3}0.000{col 57}{space 4}-.0006164{col 70}{space 3} -.000335
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.05811{col 29}{space 2} 1.448752{col 40}{space 1}   -7.63{col 49}{space 3}0.000{col 57}{space 4}-13.89761{col 70}{space 3} -8.21861
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp MaxEducation MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-287.26161}  
Iteration 1:{space 3}log pseudolikelihood = {res:-197.85679}  
Iteration 2:{space 3}log pseudolikelihood = {res:-173.19013}  
Iteration 3:{space 3}log pseudolikelihood = {res:-167.61054}  
Iteration 4:{space 3}log pseudolikelihood = {res:-167.18957}  
Iteration 5:{space 3}log pseudolikelihood = {res:-167.17921}  
Iteration 6:{space 3}log pseudolikelihood = {res:-167.17918}  
Iteration 7:{space 3}log pseudolikelihood = {res:-167.17918}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       649
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     69.30
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-167.17918{txt}{col 51}Pseudo R2{col 67}= {res}    0.4180

{txt}{ralign 92:(Std. Err. adjusted for {res:209} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}MaxEducation {c |}{col 28}{res}{space 2} .0687758{col 40}{space 2} .4972067{col 51}{space 1}    0.14{col 60}{space 3}0.890{col 68}{space 4}-.9057314{col 81}{space 3} 1.043283
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 3.291163{col 40}{space 2} 1.118733{col 51}{space 1}    2.94{col 60}{space 3}0.003{col 68}{space 4} 1.098487{col 81}{space 3}  5.48384
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.0650226{col 40}{space 2} .7672054{col 51}{space 1}   -0.08{col 60}{space 3}0.932{col 68}{space 4}-1.568718{col 81}{space 3} 1.438672
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.090342{col 40}{space 2} 1.146626{col 51}{space 1}   -0.95{col 60}{space 3}0.342{col 68}{space 4}-3.337688{col 81}{space 3} 1.157004
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.701253{col 40}{space 2} .7617009{col 51}{space 1}   -3.55{col 60}{space 3}0.000{col 68}{space 4} -4.19416{col 81}{space 3}-1.208347
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.485894{col 40}{space 2} 1.169256{col 51}{space 1}   -1.27{col 60}{space 3}0.204{col 68}{space 4}-3.777594{col 81}{space 3}  .805805
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.489085{col 40}{space 2} .8868319{col 51}{space 1}    1.68{col 60}{space 3}0.093{col 68}{space 4}-.2490739{col 81}{space 3} 3.227243
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0187642{col 40}{space 2} .0695366{col 51}{space 1}   -0.27{col 60}{space 3}0.787{col 68}{space 4}-.1550533{col 81}{space 3}  .117525
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0744618{col 40}{space 2}  .122381{col 51}{space 1}    0.61{col 60}{space 3}0.543{col 68}{space 4}-.1654005{col 81}{space 3} .3143241
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.3337183{col 40}{space 2} 1.214275{col 51}{space 1}   -0.27{col 60}{space 3}0.783{col 68}{space 4}-2.713653{col 81}{space 3} 2.046216
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.7958531{col 40}{space 2} 1.091751{col 51}{space 1}   -0.73{col 60}{space 3}0.466{col 68}{space 4}-2.935645{col 81}{space 3} 1.343939
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.519663{col 40}{space 2} 1.069899{col 51}{space 1}    2.36{col 60}{space 3}0.019{col 68}{space 4} .4226988{col 81}{space 3} 4.616628
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.459679{col 40}{space 2} .8697305{col 51}{space 1}    1.68{col 60}{space 3}0.093{col 68}{space 4}-.2449619{col 81}{space 3} 3.164319
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} -211.417{col 40}{space 2} 231.7396{col 51}{space 1}   -0.91{col 60}{space 3}0.362{col 68}{space 4}-665.6183{col 81}{space 3} 242.7843
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.4105516{col 40}{space 2} .9304067{col 51}{space 1}   -0.44{col 60}{space 3}0.659{col 68}{space 4}-2.234115{col 81}{space 3} 1.413012
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}  .178751{col 40}{space 2} .1240911{col 51}{space 1}    1.44{col 60}{space 3}0.150{col 68}{space 4}-.0644631{col 81}{space 3}  .421965
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1092905{col 40}{space 2}  .082418{col 51}{space 1}   -1.33{col 60}{space 3}0.185{col 68}{space 4}-.2708269{col 81}{space 3} .0522458
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0365387{col 40}{space 2} .0741836{col 51}{space 1}   -0.49{col 60}{space 3}0.622{col 68}{space 4}-.1819359{col 81}{space 3} .1088584
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .0912908{col 40}{space 2} .7265075{col 51}{space 1}    0.13{col 60}{space 3}0.900{col 68}{space 4}-1.332638{col 81}{space 3} 1.515219
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2387458{col 40}{space 2}  .143187{col 51}{space 1}    1.67{col 60}{space 3}0.095{col 68}{space 4}-.0418957{col 81}{space 3} .5193872
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.5853116{col 40}{space 2} .6632402{col 51}{space 1}   -0.88{col 60}{space 3}0.378{col 68}{space 4}-1.885238{col 81}{space 3} .7146152
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-9.076215{col 40}{space 2} 2.744547{col 51}{space 1}   -3.31{col 60}{space 3}0.001{col 68}{space 4}-14.45543{col 81}{space 3}-3.697002
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat MaxEducation BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7597.2861}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5462.7134}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4743.3196}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4671.5474}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4670.9615}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4670.9612}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    609480
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2618.85
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4670.9612{txt}{col 51}Pseudo R2{col 67}= {res}    0.3852

{txt}{ralign 81:(Std. Err. adjusted for {res:26126} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}MaxEducation {c |}{col 17}{res}{space 2}-.1759515{col 29}{space 2} .1360294{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-.4425641{col 70}{space 3} .0906612
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2167441{col 29}{space 2} .4001085{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4}-.5674541{col 70}{space 3} 1.000942
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5372968{col 29}{space 2} .3029422{col 40}{space 1}   -1.77{col 49}{space 3}0.076{col 57}{space 4}-1.131053{col 70}{space 3} .0564589
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} -.039606{col 29}{space 2} .1502874{col 40}{space 1}   -0.26{col 49}{space 3}0.792{col 57}{space 4}-.3341639{col 70}{space 3}  .254952
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3288303{col 29}{space 2} .2744975{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-.8668356{col 70}{space 3} .2091749
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.673762{col 29}{space 2} .4389841{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8133686{col 70}{space 3} 2.534155
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.99218{col 29}{space 2} 5.681971{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4} 15.85572{col 70}{space 3} 38.12864
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.916904{col 29}{space 2}   .32812{col 40}{space 1}   14.99{col 49}{space 3}0.000{col 57}{space 4}   4.2738{col 70}{space 3} 5.560007
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0517084{col 29}{space 2} .0185068{col 40}{space 1}    2.79{col 49}{space 3}0.005{col 57}{space 4} .0154358{col 70}{space 3}  .087981
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0574119{col 29}{space 2} .0182835{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .0215769{col 70}{space 3} .0932469
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809101{col 29}{space 2} .0218217{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4}-.1236798{col 70}{space 3}-.0381404
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6246748{col 29}{space 2} .2301071{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .1736732{col 70}{space 3} 1.075676
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0719638{col 29}{space 2} .0418124{col 40}{space 1}   -1.72{col 49}{space 3}0.085{col 57}{space 4}-.1539146{col 70}{space 3} .0099869
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.549188{col 29}{space 2} .5364116{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4}  1.49784{col 70}{space 3} 3.600535
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3846866{col 29}{space 2} .0443136{col 40}{space 1}   -8.68{col 49}{space 3}0.000{col 57}{space 4}-.4715397{col 70}{space 3}-.2978335
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0245178{col 29}{space 2} .0032488{col 40}{space 1}    7.55{col 49}{space 3}0.000{col 57}{space 4} .0181503{col 70}{space 3} .0308853
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004757{col 29}{space 2} .0000718{col 40}{space 1}   -6.63{col 49}{space 3}0.000{col 57}{space 4}-.0006164{col 70}{space 3} -.000335
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.05811{col 29}{space 2} 1.448752{col 40}{space 1}   -7.63{col 49}{space 3}0.000{col 57}{space 4}-13.89761{col 70}{space 3} -8.21861
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp MaxEducation MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-369.01782}  
Iteration 1:{space 3}log pseudolikelihood = {res:-275.98374}  
Iteration 2:{space 3}log pseudolikelihood = {res:-269.30289}  
Iteration 3:{space 3}log pseudolikelihood = {res:-269.19829}  
Iteration 4:{space 3}log pseudolikelihood = {res:-269.19815}  
Iteration 5:{space 3}log pseudolikelihood = {res:-269.19815}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       649
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     76.26
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-269.19815{txt}{col 51}Pseudo R2{col 67}= {res}    0.2705

{txt}{ralign 92:(Std. Err. adjusted for {res:209} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}MaxEducation {c |}{col 28}{res}{space 2}-.1549729{col 40}{space 2} .4038439{col 51}{space 1}   -0.38{col 60}{space 3}0.701{col 68}{space 4}-.9464923{col 81}{space 3} .6365465
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.098283{col 40}{space 2}  1.05354{col 51}{space 1}   -1.04{col 60}{space 3}0.297{col 68}{space 4}-3.163183{col 81}{space 3} .9666174
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.0244902{col 40}{space 2}  .524632{col 51}{space 1}   -0.05{col 60}{space 3}0.963{col 68}{space 4} -1.05275{col 81}{space 3}  1.00377
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.070971{col 40}{space 2} .7900263{col 51}{space 1}    2.62{col 60}{space 3}0.009{col 68}{space 4} .5225473{col 81}{space 3} 3.619394
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .6034124{col 40}{space 2} .6451752{col 51}{space 1}    0.94{col 60}{space 3}0.350{col 68}{space 4}-.6611079{col 81}{space 3} 1.867933
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.472643{col 40}{space 2} .9702135{col 51}{space 1}    3.58{col 60}{space 3}0.000{col 68}{space 4} 1.571059{col 81}{space 3} 5.374226
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1130113{col 40}{space 2} .8363741{col 51}{space 1}   -0.14{col 60}{space 3}0.893{col 68}{space 4}-1.752274{col 81}{space 3} 1.526252
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0895625{col 40}{space 2} .0793058{col 51}{space 1}   -1.13{col 60}{space 3}0.259{col 68}{space 4}-.2449989{col 81}{space 3}  .065874
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0962327{col 40}{space 2}  .092577{col 51}{space 1}   -1.04{col 60}{space 3}0.299{col 68}{space 4}-.2776802{col 81}{space 3} .0852148
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .5197726{col 40}{space 2}  .671833{col 51}{space 1}    0.77{col 60}{space 3}0.439{col 68}{space 4}-.7969958{col 81}{space 3} 1.836541
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .2402275{col 40}{space 2} .5531674{col 51}{space 1}    0.43{col 60}{space 3}0.664{col 68}{space 4}-.8439605{col 81}{space 3} 1.324416
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.082673{col 40}{space 2} .7648162{col 51}{space 1}    1.42{col 60}{space 3}0.157{col 68}{space 4} -.416339{col 81}{space 3} 2.581685
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5665223{col 40}{space 2} .5430491{col 51}{space 1}   -1.04{col 60}{space 3}0.297{col 68}{space 4}-1.630879{col 81}{space 3} .4978343
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-15.16795{col 40}{space 2} 26.30991{col 51}{space 1}   -0.58{col 60}{space 3}0.564{col 68}{space 4}-66.73441{col 81}{space 3} 36.39852
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.007743{col 40}{space 2} .4714202{col 51}{space 1}   -4.26{col 60}{space 3}0.000{col 68}{space 4}-2.931709{col 81}{space 3}-1.083776
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0875481{col 40}{space 2} .0442004{col 51}{space 1}   -1.98{col 60}{space 3}0.048{col 68}{space 4}-.1741792{col 81}{space 3} -.000917
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0365037{col 40}{space 2} .0461782{col 51}{space 1}   -0.79{col 60}{space 3}0.429{col 68}{space 4}-.1270114{col 81}{space 3}  .054004
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0568569{col 40}{space 2} .0553653{col 51}{space 1}   -1.03{col 60}{space 3}0.304{col 68}{space 4}-.1653708{col 81}{space 3} .0516571
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.2950463{col 40}{space 2} .4453854{col 51}{space 1}   -0.66{col 60}{space 3}0.508{col 68}{space 4}-1.167986{col 81}{space 3} .5778931
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2659092{col 40}{space 2} .0892329{col 51}{space 1}    2.98{col 60}{space 3}0.003{col 68}{space 4} .0910159{col 81}{space 3} .4408025
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.5977946{col 40}{space 2}  .575194{col 51}{space 1}   -1.04{col 60}{space 3}0.299{col 68}{space 4}-1.725154{col 81}{space 3}  .529565
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  2.06269{col 40}{space 2} 1.637172{col 51}{space 1}    1.26{col 60}{space 3}0.208{col 68}{space 4}-1.146107{col 81}{space 3} 5.271488
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table6 , word label title(Table 6: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table6.rtf"'"':Table6.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table6.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 7****
. *Models 1 and 2*
. heckprob imposition NewExecDumm2 NewP1Dummy2 BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat= NewExecDumm2 NewP1Dummy2 BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-615.77324}  
Iteration 1:{space 3}log pseudolikelihood = {res:-545.72466}  
Iteration 2:{space 3}log pseudolikelihood = {res:-545.24053}  
Iteration 3:{space 3}log pseudolikelihood = {res:-545.23929}  
Iteration 4:{space 3}log pseudolikelihood = {res:-545.23929}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -7230.573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5288.2415}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4126.4785}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4104.0571}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4103.9351}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4103.9351}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-685.52256}  
Iteration 1:{space 3}log pseudolikelihood = {res:-543.97204}  
Iteration 2:{space 3}log pseudolikelihood = {res:-542.93248}  
Iteration 3:{space 3}log pseudolikelihood = {res:-542.92697}  
Iteration 4:{space 3}log pseudolikelihood = {res:-542.92697}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4646.9917}  
Iteration 1:{space 3}log pseudolikelihood = {res: -4646.878}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4646.8779}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   545030
{txt}                                                Censored obs       = {res}   544041
                                                {txt}Uncensored obs     = {res}      989

                                                {txt}Wald chi2({res}15{txt})      = {res}   101.31
{txt}Log pseudolikelihood = {res}-4646.878                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:25884} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 3}NewExecDumm2 {c |}{col 17}{res}{space 2} 1.230085{col 29}{space 2} .6417575{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4}-.0277369{col 70}{space 3} 2.487906
{txt}{space 4}NewP1Dummy2 {c |}{col 17}{res}{space 2}-1.097258{col 29}{space 2} .6432128{col 40}{space 1}   -1.71{col 49}{space 3}0.088{col 57}{space 4}-2.357932{col 70}{space 3} .1634156
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}  .238193{col 29}{space 2} .4874558{col 40}{space 1}    0.49{col 49}{space 3}0.625{col 57}{space 4}-.7172029{col 70}{space 3} 1.193589
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-1.231891{col 29}{space 2} .4214537{col 40}{space 1}   -2.92{col 49}{space 3}0.003{col 57}{space 4}-2.057925{col 70}{space 3}-.4058567
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2503837{col 29}{space 2}  .153169{col 40}{space 1}    1.63{col 49}{space 3}0.102{col 57}{space 4} -.049822{col 70}{space 3} .5505894
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7869278{col 29}{space 2} .1974258{col 40}{space 1}   -3.99{col 49}{space 3}0.000{col 57}{space 4}-1.173875{col 70}{space 3}-.3999804
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7299741{col 29}{space 2} .2470829{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} .2457005{col 70}{space 3} 1.214248
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} .8631428{col 29}{space 2} 5.376468{col 40}{space 1}    0.16{col 49}{space 3}0.872{col 57}{space 4}-9.674542{col 70}{space 3} 11.40083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2}  1.13844{col 29}{space 2} .2807737{col 40}{space 1}    4.05{col 49}{space 3}0.000{col 57}{space 4} .5881337{col 70}{space 3} 1.688746
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0007162{col 29}{space 2}  .015531{col 40}{space 1}    0.05{col 49}{space 3}0.963{col 57}{space 4}-.0297241{col 70}{space 3} .0311565
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0315807{col 29}{space 2} .0148806{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0024152{col 70}{space 3} .0607462
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0243265{col 29}{space 2} .0192261{col 40}{space 1}    1.27{col 49}{space 3}0.206{col 57}{space 4} -.013356{col 70}{space 3}  .062009
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0771427{col 29}{space 2} .1711363{col 40}{space 1}   -0.45{col 49}{space 3}0.652{col 57}{space 4}-.4125636{col 70}{space 3} .2582783
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1085067{col 29}{space 2} .0422393{col 40}{space 1}   -2.57{col 49}{space 3}0.010{col 57}{space 4}-.1912943{col 70}{space 3}-.0257191
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .0240115{col 29}{space 2} .2769392{col 40}{space 1}    0.09{col 49}{space 3}0.931{col 57}{space 4}-.5187795{col 70}{space 3} .5668024
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.796636{col 29}{space 2} .8476705{col 40}{space 1}   -3.30{col 49}{space 3}0.001{col 57}{space 4}-4.458039{col 70}{space 3}-1.135232
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 3}NewExecDumm2 {c |}{col 17}{res}{space 2}-.1085167{col 29}{space 2} .1954679{col 40}{space 1}   -0.56{col 49}{space 3}0.579{col 57}{space 4}-.4916268{col 70}{space 3} .2745934
{txt}{space 4}NewP1Dummy2 {c |}{col 17}{res}{space 2} .0034114{col 29}{space 2} .2017107{col 40}{space 1}    0.02{col 49}{space 3}0.987{col 57}{space 4}-.3919344{col 70}{space 3} .3987571
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0371229{col 29}{space 2} .1721016{col 40}{space 1}   -0.22{col 49}{space 3}0.829{col 57}{space 4}-.3744359{col 70}{space 3}   .30019
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.2501835{col 29}{space 2} .0981398{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4} -.442534{col 70}{space 3} -.057833
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1381989{col 29}{space 2} .0613331{col 40}{space 1}   -2.25{col 49}{space 3}0.024{col 57}{space 4}-.2584097{col 70}{space 3}-.0179881
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.0545911{col 29}{space 2} .1020133{col 40}{space 1}   -0.54{col 49}{space 3}0.593{col 57}{space 4}-.2545335{col 70}{space 3} .1453513
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6485855{col 29}{space 2} .1292618{col 40}{space 1}    5.02{col 49}{space 3}0.000{col 57}{space 4}  .395237{col 70}{space 3} .9019339
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 12.12814{col 29}{space 2} 2.888758{col 40}{space 1}    4.20{col 49}{space 3}0.000{col 57}{space 4}  6.46628{col 70}{space 3} 17.79001
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.941204{col 29}{space 2} .1213172{col 40}{space 1}   16.00{col 49}{space 3}0.000{col 57}{space 4} 1.703427{col 70}{space 3} 2.178982
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}   .01382{col 29}{space 2} .0061265{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .0018122{col 70}{space 3} .0258277
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0123012{col 29}{space 2} .0062627{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4} .0000265{col 70}{space 3} .0245759
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0293287{col 29}{space 2} .0099752{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}-.0488797{col 70}{space 3}-.0097776
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4191047{col 29}{space 2} .0782502{col 40}{space 1}    5.36{col 49}{space 3}0.000{col 57}{space 4} .2657372{col 70}{space 3} .5724722
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0078658{col 29}{space 2} .0147859{col 40}{space 1}   -0.53{col 49}{space 3}0.595{col 57}{space 4}-.0368456{col 70}{space 3}  .021114
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.212264{col 29}{space 2} .1483385{col 40}{space 1}    8.17{col 49}{space 3}0.000{col 57}{space 4} .9215262{col 70}{space 3} 1.503003
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2530433{col 29}{space 2} .0210086{col 40}{space 1}  -12.04{col 49}{space 3}0.000{col 57}{space 4}-.2942194{col 70}{space 3}-.2118672
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0145178{col 29}{space 2} .0014158{col 40}{space 1}   10.25{col 49}{space 3}0.000{col 57}{space 4} .0117429{col 70}{space 3} .0172926
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002549{col 29}{space 2} .0000298{col 40}{space 1}   -8.55{col 49}{space 3}0.000{col 57}{space 4}-.0003133{col 70}{space 3}-.0001964
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.111573{col 29}{space 2} .3870538{col 40}{space 1}  -10.62{col 49}{space 3}0.000{col 57}{space 4}-4.870184{col 70}{space 3}-3.352961
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .2672657{col 29}{space 2} .1487443{col 40}{space 1}    1.80{col 49}{space 3}0.072{col 57}{space 4}-.0242678{col 70}{space 3} .5587991
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .2610787{col 29}{space 2} .1386056{col 57}{space 4} -.024263{col 70}{space 3} .5070859
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    3.23   {txt}Prob > chi2 = {res}0.0724
{txt}
{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat NewExecDumm2 NewP1Dummy2 BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -7230.573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5065.7699}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4205.0962}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4123.8589}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4123.1076}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4123.1071}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4123.1071}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    545030
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2267.63
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4123.1071{txt}{col 51}Pseudo R2{col 67}= {res}    0.4298

{txt}{ralign 81:(Std. Err. adjusted for {res:25884} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}NewExecDumm2 {c |}{col 17}{res}{space 2}-.3062616{col 29}{space 2} .6341163{col 40}{space 1}   -0.48{col 49}{space 3}0.629{col 57}{space 4}-1.549107{col 70}{space 3} .9365835
{txt}{space 4}NewP1Dummy2 {c |}{col 17}{res}{space 2} .0091221{col 29}{space 2} .6478792{col 40}{space 1}    0.01{col 49}{space 3}0.989{col 57}{space 4}-1.260698{col 70}{space 3} 1.278942
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0812354{col 29}{space 2} .4155396{col 40}{space 1}   -0.20{col 49}{space 3}0.845{col 57}{space 4}-.8956781{col 70}{space 3} .7332072
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5260068{col 29}{space 2} .3250547{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4}-1.163102{col 70}{space 3} .1110887
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3873147{col 29}{space 2} .1602241{col 40}{space 1}   -2.42{col 49}{space 3}0.016{col 57}{space 4}-.7013481{col 70}{space 3}-.0732813
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1658652{col 29}{space 2} .2843275{col 40}{space 1}   -0.58{col 49}{space 3}0.560{col 57}{space 4}-.7231368{col 70}{space 3} .3914064
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.608826{col 29}{space 2} .3998304{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4}  .825173{col 70}{space 3}  2.39248
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.10098{col 29}{space 2} 6.034383{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} 14.27381{col 70}{space 3} 37.92815
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.770255{col 29}{space 2} .3334496{col 40}{space 1}   14.31{col 49}{space 3}0.000{col 57}{space 4} 4.116706{col 70}{space 3} 5.423804
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0497425{col 29}{space 2} .0195846{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .0113575{col 70}{space 3} .0881276
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0474066{col 29}{space 2} .0198671{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .0084679{col 70}{space 3} .0863453
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0946605{col 29}{space 2} .0232957{col 40}{space 1}   -4.06{col 49}{space 3}0.000{col 57}{space 4}-.1403192{col 70}{space 3}-.0490018
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.043665{col 29}{space 2} .2135152{col 40}{space 1}    4.89{col 49}{space 3}0.000{col 57}{space 4} .6251832{col 70}{space 3} 1.462147
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0440917{col 29}{space 2} .0445349{col 40}{space 1}   -0.99{col 49}{space 3}0.322{col 57}{space 4}-.1313785{col 70}{space 3} .0431951
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.932492{col 29}{space 2} .5102514{col 40}{space 1}    5.75{col 49}{space 3}0.000{col 57}{space 4} 1.932418{col 70}{space 3} 3.932566
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.6039825{col 29}{space 2} .0566486{col 40}{space 1}  -10.66{col 49}{space 3}0.000{col 57}{space 4}-.7150116{col 70}{space 3}-.4929534
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0356126{col 29}{space 2} .0037712{col 40}{space 1}    9.44{col 49}{space 3}0.000{col 57}{space 4} .0282213{col 70}{space 3} .0430039
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006388{col 29}{space 2} .0000789{col 40}{space 1}   -8.09{col 49}{space 3}0.000{col 57}{space 4}-.0007935{col 70}{space 3} -.000484
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  -9.7539{col 29}{space 2}  1.24948{col 40}{space 1}   -7.81{col 49}{space 3}0.000{col 57}{space 4}-12.20284{col 70}{space 3}-7.304965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition NewExecDumm2 NewP1Dummy2 BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-615.77324}  
Iteration 1:{space 3}log pseudolikelihood = {res: -547.5746}  
Iteration 2:{space 3}log pseudolikelihood = {res:-545.86602}  
Iteration 3:{space 3}log pseudolikelihood = {res:-545.85925}  
Iteration 4:{space 3}log pseudolikelihood = {res:-545.85925}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       989
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     67.37
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-545.85925{txt}{col 51}Pseudo R2{col 67}= {res}    0.1135

{txt}{ralign 79:(Std. Err. adjusted for {res:267} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}NewExecDumm2 {c |}{col 15}{res}{space 2} 2.166626{col 27}{space 2} 1.215836{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.2163691{col 68}{space 3}  4.54962
{txt}{space 2}NewP1Dummy2 {c |}{col 15}{res}{space 2}-1.899943{col 27}{space 2} 1.220733{col 38}{space 1}   -1.56{col 47}{space 3}0.120{col 55}{space 4}-4.292535{col 68}{space 3} .4926497
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4183953{col 27}{space 2} .8492765{col 38}{space 1}    0.49{col 47}{space 3}0.622{col 55}{space 4}-1.246156{col 68}{space 3} 2.082947
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-1.966475{col 27}{space 2}  .723748{col 38}{space 1}   -2.72{col 47}{space 3}0.007{col 55}{space 4}-3.384994{col 68}{space 3}-.5479546
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4599825{col 27}{space 2}  .266269{col 38}{space 1}    1.73{col 47}{space 3}0.084{col 55}{space 4}-.0618951{col 68}{space 3} .9818602
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2} -1.30021{col 27}{space 2} .3479366{col 38}{space 1}   -3.74{col 47}{space 3}0.000{col 55}{space 4}-1.982153{col 68}{space 3}-.6182668
{txt}igomember_log {c |}{col 15}{res}{space 2} .9688963{col 27}{space 2} .4218354{col 38}{space 1}    2.30{col 47}{space 3}0.022{col 55}{space 4} .1421141{col 68}{space 3} 1.795679
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-2.179904{col 27}{space 2} 8.037476{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-17.93307{col 68}{space 3} 13.57326
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.142606{col 27}{space 2} .3686035{col 38}{space 1}    3.10{col 47}{space 3}0.002{col 55}{space 4}  .420156{col 68}{space 3} 1.865055
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0013148{col 27}{space 2} .0278157{col 38}{space 1}   -0.05{col 47}{space 3}0.962{col 55}{space 4}-.0558325{col 68}{space 3} .0532029
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0522099{col 27}{space 2} .0275146{col 38}{space 1}    1.90{col 47}{space 3}0.058{col 55}{space 4}-.0017178{col 68}{space 3} .1061376
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0551027{col 27}{space 2} .0358396{col 38}{space 1}    1.54{col 47}{space 3}0.124{col 55}{space 4}-.0151417{col 68}{space 3}  .125347
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}  -.24263{col 27}{space 2} .2894597{col 38}{space 1}   -0.84{col 47}{space 3}0.402{col 55}{space 4}-.8099605{col 68}{space 3} .3247005
{txt}{space 5}capratio {c |}{col 15}{res}{space 2} -.185934{col 27}{space 2} .0728346{col 38}{space 1}   -2.55{col 47}{space 3}0.011{col 55}{space 4} -.328687{col 68}{space 3}-.0431809
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.4161384{col 27}{space 2} .3996243{col 38}{space 1}   -1.04{col 47}{space 3}0.298{col 55}{space 4}-1.199388{col 68}{space 3} .3671109
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.461489{col 27}{space 2} 1.053944{col 38}{space 1}   -2.34{col 47}{space 3}0.020{col 55}{space 4}-4.527182{col 68}{space 3}-.3957964
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat NewExecDumm2 NewP1Dummy2 BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -7230.573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5065.7699}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4205.0962}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4123.8589}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4123.1076}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4123.1071}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4123.1071}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    545030
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2267.63
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4123.1071{txt}{col 51}Pseudo R2{col 67}= {res}    0.4298

{txt}{ralign 81:(Std. Err. adjusted for {res:25884} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}NewExecDumm2 {c |}{col 17}{res}{space 2}-.3062616{col 29}{space 2} .6341163{col 40}{space 1}   -0.48{col 49}{space 3}0.629{col 57}{space 4}-1.549107{col 70}{space 3} .9365835
{txt}{space 4}NewP1Dummy2 {c |}{col 17}{res}{space 2} .0091221{col 29}{space 2} .6478792{col 40}{space 1}    0.01{col 49}{space 3}0.989{col 57}{space 4}-1.260698{col 70}{space 3} 1.278942
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0812354{col 29}{space 2} .4155396{col 40}{space 1}   -0.20{col 49}{space 3}0.845{col 57}{space 4}-.8956781{col 70}{space 3} .7332072
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5260068{col 29}{space 2} .3250547{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4}-1.163102{col 70}{space 3} .1110887
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3873147{col 29}{space 2} .1602241{col 40}{space 1}   -2.42{col 49}{space 3}0.016{col 57}{space 4}-.7013481{col 70}{space 3}-.0732813
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1658652{col 29}{space 2} .2843275{col 40}{space 1}   -0.58{col 49}{space 3}0.560{col 57}{space 4}-.7231368{col 70}{space 3} .3914064
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.608826{col 29}{space 2} .3998304{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4}  .825173{col 70}{space 3}  2.39248
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.10098{col 29}{space 2} 6.034383{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} 14.27381{col 70}{space 3} 37.92815
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.770255{col 29}{space 2} .3334496{col 40}{space 1}   14.31{col 49}{space 3}0.000{col 57}{space 4} 4.116706{col 70}{space 3} 5.423804
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0497425{col 29}{space 2} .0195846{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .0113575{col 70}{space 3} .0881276
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0474066{col 29}{space 2} .0198671{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .0084679{col 70}{space 3} .0863453
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0946605{col 29}{space 2} .0232957{col 40}{space 1}   -4.06{col 49}{space 3}0.000{col 57}{space 4}-.1403192{col 70}{space 3}-.0490018
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.043665{col 29}{space 2} .2135152{col 40}{space 1}    4.89{col 49}{space 3}0.000{col 57}{space 4} .6251832{col 70}{space 3} 1.462147
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0440917{col 29}{space 2} .0445349{col 40}{space 1}   -0.99{col 49}{space 3}0.322{col 57}{space 4}-.1313785{col 70}{space 3} .0431951
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.932492{col 29}{space 2} .5102514{col 40}{space 1}    5.75{col 49}{space 3}0.000{col 57}{space 4} 1.932418{col 70}{space 3} 3.932566
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.6039825{col 29}{space 2} .0566486{col 40}{space 1}  -10.66{col 49}{space 3}0.000{col 57}{space 4}-.7150116{col 70}{space 3}-.4929534
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0356126{col 29}{space 2} .0037712{col 40}{space 1}    9.44{col 49}{space 3}0.000{col 57}{space 4} .0282213{col 70}{space 3} .0430039
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006388{col 29}{space 2} .0000789{col 40}{space 1}   -8.09{col 49}{space 3}0.000{col 57}{space 4}-.0007935{col 70}{space 3} -.000484
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  -9.7539{col 29}{space 2}  1.24948{col 40}{space 1}   -7.81{col 49}{space 3}0.000{col 57}{space 4}-12.20284{col 70}{space 3}-7.304965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp NewExecDumm2 NewP1Dummy2 MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-278.79664}  
Iteration 1:{space 3}log pseudolikelihood = {res:-191.14398}  
Iteration 2:{space 3}log pseudolikelihood = {res:-168.42377}  
Iteration 3:{space 3}log pseudolikelihood = {res:-163.65095}  
Iteration 4:{space 3}log pseudolikelihood = {res:-163.39638}  
Iteration 5:{space 3}log pseudolikelihood = {res:-163.39061}  
Iteration 6:{space 3}log pseudolikelihood = {res: -163.3906}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       629
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     76.08
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -163.3906{txt}{col 51}Pseudo R2{col 67}= {res}    0.4139

{txt}{ralign 92:(Std. Err. adjusted for {res:201} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}NewExecDumm2 {c |}{col 28}{res}{space 2} .6658467{col 40}{space 2} 1.034762{col 51}{space 1}    0.64{col 60}{space 3}0.520{col 68}{space 4} -1.36225{col 81}{space 3} 2.693944
{txt}{space 15}NewP1Dummy2 {c |}{col 28}{res}{space 2}-.9311484{col 40}{space 2} .9724483{col 51}{space 1}   -0.96{col 60}{space 3}0.338{col 68}{space 4}-2.837112{col 81}{space 3} .9748152
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.905459{col 40}{space 2}  1.14448{col 51}{space 1}    2.54{col 60}{space 3}0.011{col 68}{space 4} .6623189{col 81}{space 3} 5.148599
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .1648646{col 40}{space 2} .7600341{col 51}{space 1}    0.22{col 60}{space 3}0.828{col 68}{space 4}-1.324775{col 81}{space 3} 1.654504
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.064985{col 40}{space 2} 1.090949{col 51}{space 1}   -0.98{col 60}{space 3}0.329{col 68}{space 4}-3.203206{col 81}{space 3} 1.073235
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.648955{col 40}{space 2} .7491322{col 51}{space 1}   -3.54{col 60}{space 3}0.000{col 68}{space 4}-4.117227{col 81}{space 3}-1.180683
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.277832{col 40}{space 2} 1.171093{col 51}{space 1}   -1.09{col 60}{space 3}0.275{col 68}{space 4}-3.573132{col 81}{space 3} 1.017469
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.464765{col 40}{space 2} .8651333{col 51}{space 1}    1.69{col 60}{space 3}0.090{col 68}{space 4}-.2308654{col 81}{space 3} 3.160395
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0076287{col 40}{space 2} .0804802{col 51}{space 1}    0.09{col 60}{space 3}0.924{col 68}{space 4}-.1501096{col 81}{space 3} .1653671
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0279839{col 40}{space 2} .1189263{col 51}{space 1}    0.24{col 60}{space 3}0.814{col 68}{space 4}-.2051074{col 81}{space 3} .2610752
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} -.373761{col 40}{space 2}  1.14815{col 51}{space 1}   -0.33{col 60}{space 3}0.745{col 68}{space 4}-2.624094{col 81}{space 3} 1.876572
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.8063501{col 40}{space 2} 1.008179{col 51}{space 1}   -0.80{col 60}{space 3}0.424{col 68}{space 4}-2.782344{col 81}{space 3} 1.169644
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.184659{col 40}{space 2} 1.032731{col 51}{space 1}    2.12{col 60}{space 3}0.034{col 68}{space 4} .1605424{col 81}{space 3} 4.208775
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.386116{col 40}{space 2} .9311599{col 51}{space 1}    1.49{col 60}{space 3}0.137{col 68}{space 4}-.4389243{col 81}{space 3} 3.211155
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-181.2844{col 40}{space 2}  199.101{col 51}{space 1}   -0.91{col 60}{space 3}0.363{col 68}{space 4}-571.5152{col 81}{space 3} 208.9464
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .0550331{col 40}{space 2} .9618507{col 51}{space 1}    0.06{col 60}{space 3}0.954{col 68}{space 4} -1.83016{col 81}{space 3} 1.940226
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1591387{col 40}{space 2} .1191576{col 51}{space 1}    1.34{col 60}{space 3}0.182{col 68}{space 4}-.0744059{col 81}{space 3} .3926833
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0790065{col 40}{space 2} .0884475{col 51}{space 1}   -0.89{col 60}{space 3}0.372{col 68}{space 4}-.2523604{col 81}{space 3} .0943474
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0601855{col 40}{space 2} .0803776{col 51}{space 1}   -0.75{col 60}{space 3}0.454{col 68}{space 4}-.2177227{col 81}{space 3} .0973516
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .1689406{col 40}{space 2} .6968448{col 51}{space 1}    0.24{col 60}{space 3}0.808{col 68}{space 4} -1.19685{col 81}{space 3} 1.534731
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1990238{col 40}{space 2} .1425163{col 51}{space 1}    1.40{col 60}{space 3}0.163{col 68}{space 4}-.0803029{col 81}{space 3} .4783505
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.7104061{col 40}{space 2} .6810153{col 51}{space 1}   -1.04{col 60}{space 3}0.297{col 68}{space 4}-2.045171{col 81}{space 3} .6243593
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -8.76312{col 40}{space 2} 2.887699{col 51}{space 1}   -3.03{col 60}{space 3}0.002{col 68}{space 4}-14.42291{col 81}{space 3}-3.103333
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat NewExecDumm2 NewP1Dummy2 BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -7230.573}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5065.7699}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4205.0962}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4123.8589}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4123.1076}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4123.1071}  
Iteration 6:{space 3}log pseudolikelihood = {res:-4123.1071}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    545030
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2267.63
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4123.1071{txt}{col 51}Pseudo R2{col 67}= {res}    0.4298

{txt}{ralign 81:(Std. Err. adjusted for {res:25884} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}NewExecDumm2 {c |}{col 17}{res}{space 2}-.3062616{col 29}{space 2} .6341163{col 40}{space 1}   -0.48{col 49}{space 3}0.629{col 57}{space 4}-1.549107{col 70}{space 3} .9365835
{txt}{space 4}NewP1Dummy2 {c |}{col 17}{res}{space 2} .0091221{col 29}{space 2} .6478792{col 40}{space 1}    0.01{col 49}{space 3}0.989{col 57}{space 4}-1.260698{col 70}{space 3} 1.278942
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0812354{col 29}{space 2} .4155396{col 40}{space 1}   -0.20{col 49}{space 3}0.845{col 57}{space 4}-.8956781{col 70}{space 3} .7332072
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5260068{col 29}{space 2} .3250547{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4}-1.163102{col 70}{space 3} .1110887
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3873147{col 29}{space 2} .1602241{col 40}{space 1}   -2.42{col 49}{space 3}0.016{col 57}{space 4}-.7013481{col 70}{space 3}-.0732813
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1658652{col 29}{space 2} .2843275{col 40}{space 1}   -0.58{col 49}{space 3}0.560{col 57}{space 4}-.7231368{col 70}{space 3} .3914064
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.608826{col 29}{space 2} .3998304{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4}  .825173{col 70}{space 3}  2.39248
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.10098{col 29}{space 2} 6.034383{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} 14.27381{col 70}{space 3} 37.92815
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.770255{col 29}{space 2} .3334496{col 40}{space 1}   14.31{col 49}{space 3}0.000{col 57}{space 4} 4.116706{col 70}{space 3} 5.423804
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0497425{col 29}{space 2} .0195846{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .0113575{col 70}{space 3} .0881276
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0474066{col 29}{space 2} .0198671{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .0084679{col 70}{space 3} .0863453
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0946605{col 29}{space 2} .0232957{col 40}{space 1}   -4.06{col 49}{space 3}0.000{col 57}{space 4}-.1403192{col 70}{space 3}-.0490018
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.043665{col 29}{space 2} .2135152{col 40}{space 1}    4.89{col 49}{space 3}0.000{col 57}{space 4} .6251832{col 70}{space 3} 1.462147
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0440917{col 29}{space 2} .0445349{col 40}{space 1}   -0.99{col 49}{space 3}0.322{col 57}{space 4}-.1313785{col 70}{space 3} .0431951
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.932492{col 29}{space 2} .5102514{col 40}{space 1}    5.75{col 49}{space 3}0.000{col 57}{space 4} 1.932418{col 70}{space 3} 3.932566
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.6039825{col 29}{space 2} .0566486{col 40}{space 1}  -10.66{col 49}{space 3}0.000{col 57}{space 4}-.7150116{col 70}{space 3}-.4929534
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0356126{col 29}{space 2} .0037712{col 40}{space 1}    9.44{col 49}{space 3}0.000{col 57}{space 4} .0282213{col 70}{space 3} .0430039
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006388{col 29}{space 2} .0000789{col 40}{space 1}   -8.09{col 49}{space 3}0.000{col 57}{space 4}-.0007935{col 70}{space 3} -.000484
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  -9.7539{col 29}{space 2}  1.24948{col 40}{space 1}   -7.81{col 49}{space 3}0.000{col 57}{space 4}-12.20284{col 70}{space 3}-7.304965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp NewExecDumm2 NewP1Dummy2 MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-356.69805}  
Iteration 1:{space 3}log pseudolikelihood = {res:-265.25648}  
Iteration 2:{space 3}log pseudolikelihood = {res:-257.95903}  
Iteration 3:{space 3}log pseudolikelihood = {res:-257.71981}  
Iteration 4:{space 3}log pseudolikelihood = {res:-257.68481}  
Iteration 5:{space 3}log pseudolikelihood = {res:-257.68064}  
Iteration 6:{space 3}log pseudolikelihood = {res:-257.68003}  
Iteration 7:{space 3}log pseudolikelihood = {res:-257.67993}  
Iteration 8:{space 3}log pseudolikelihood = {res: -257.6799}  
Iteration 9:{space 3}log pseudolikelihood = {res: -257.6799}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       629
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}    685.61
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -257.6799{txt}{col 51}Pseudo R2{col 67}= {res}    0.2776

{txt}{ralign 92:(Std. Err. adjusted for {res:201} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}NewExecDumm2 {c |}{col 28}{res}{space 2}-15.51994{col 40}{space 2} 1.078306{col 51}{space 1}  -14.39{col 60}{space 3}0.000{col 68}{space 4}-17.63339{col 81}{space 3} -13.4065
{txt}{space 15}NewP1Dummy2 {c |}{col 28}{res}{space 2} 15.49959{col 40}{space 2} .8745475{col 51}{space 1}   17.72{col 60}{space 3}0.000{col 68}{space 4} 13.78551{col 81}{space 3} 17.21367
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-.9573941{col 40}{space 2} 1.139434{col 51}{space 1}   -0.84{col 60}{space 3}0.401{col 68}{space 4}-3.190643{col 81}{space 3} 1.275855
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.159074{col 40}{space 2} .5331901{col 51}{space 1}   -0.30{col 60}{space 3}0.765{col 68}{space 4}-1.204107{col 81}{space 3} .8859594
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.198432{col 40}{space 2} .7738306{col 51}{space 1}    2.84{col 60}{space 3}0.004{col 68}{space 4} .6817516{col 81}{space 3} 3.715112
{txt}{space 24}3  {c |}{col 28}{res}{space 2}  .756346{col 40}{space 2} .6643155{col 51}{space 1}    1.14{col 60}{space 3}0.255{col 68}{space 4}-.5456885{col 81}{space 3}  2.05838
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  2.99082{col 40}{space 2} .9547672{col 51}{space 1}    3.13{col 60}{space 3}0.002{col 68}{space 4} 1.119511{col 81}{space 3}  4.86213
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1197892{col 40}{space 2} .8503312{col 51}{space 1}   -0.14{col 60}{space 3}0.888{col 68}{space 4}-1.786408{col 81}{space 3} 1.546829
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.1053216{col 40}{space 2} .0798418{col 51}{space 1}   -1.32{col 60}{space 3}0.187{col 68}{space 4}-.2618087{col 81}{space 3} .0511654
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0845078{col 40}{space 2} .0901232{col 51}{space 1}   -0.94{col 60}{space 3}0.348{col 68}{space 4} -.261146{col 81}{space 3} .0921304
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .8013742{col 40}{space 2} .7321455{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-.6336047{col 81}{space 3} 2.236353
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .4083683{col 40}{space 2} .5766544{col 51}{space 1}    0.71{col 60}{space 3}0.479{col 68}{space 4}-.7218536{col 81}{space 3}  1.53859
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.002404{col 40}{space 2} .7513159{col 51}{space 1}    1.33{col 60}{space 3}0.182{col 68}{space 4}-.4701485{col 81}{space 3} 2.474956
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5647503{col 40}{space 2} .5969787{col 51}{space 1}   -0.95{col 60}{space 3}0.344{col 68}{space 4}-1.734807{col 81}{space 3} .6053065
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-37.41529{col 40}{space 2} 32.24491{col 51}{space 1}   -1.16{col 60}{space 3}0.246{col 68}{space 4}-100.6142{col 81}{space 3} 25.78359
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.685372{col 40}{space 2} .4511648{col 51}{space 1}   -3.74{col 60}{space 3}0.000{col 68}{space 4}-2.569639{col 81}{space 3} -.801105
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0982329{col 40}{space 2} .0456578{col 51}{space 1}   -2.15{col 60}{space 3}0.031{col 68}{space 4}-.1877205{col 81}{space 3}-.0087452
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0200814{col 40}{space 2} .0463498{col 51}{space 1}   -0.43{col 60}{space 3}0.665{col 68}{space 4}-.1109253{col 81}{space 3} .0707625
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0800729{col 40}{space 2} .0584476{col 51}{space 1}   -1.37{col 60}{space 3}0.171{col 68}{space 4}-.1946281{col 81}{space 3} .0344823
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} -.372341{col 40}{space 2} .4432731{col 51}{space 1}   -0.84{col 60}{space 3}0.401{col 68}{space 4} -1.24114{col 81}{space 3} .4964584
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1775162{col 40}{space 2} .0981389{col 51}{space 1}    1.81{col 60}{space 3}0.070{col 68}{space 4}-.0148325{col 81}{space 3} .3698648
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.1895762{col 40}{space 2} .5847615{col 51}{space 1}   -0.32{col 60}{space 3}0.746{col 68}{space 4}-1.335688{col 81}{space 3} .9565354
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.916145{col 40}{space 2} 1.786084{col 51}{space 1}    1.07{col 60}{space 3}0.283{col 68}{space 4}-1.584516{col 81}{space 3} 5.416806
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table7 , word label title(Table 7: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table7.rtf"'"':Table7.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table7.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 8****
. *Models 1 and 2*
. heckprob imposition NewSenderIdeology NewTargetIdeology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat= NewSenderIdeology NewTargetIdeology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-484.72777}  
Iteration 1:{space 3}log pseudolikelihood = {res:-427.68882}  
Iteration 2:{space 3}log pseudolikelihood = {res:-426.48181}  
Iteration 3:{space 3}log pseudolikelihood = {res:-426.46929}  
Iteration 4:{space 3}log pseudolikelihood = {res:-426.46929}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4150.3183}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3124.4557}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3096.1414}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3095.7658}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3095.7656}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-555.21089}  
Iteration 1:{space 3}log pseudolikelihood = {res:-425.59531}  
Iteration 2:{space 3}log pseudolikelihood = {res: -423.0128}  
Iteration 3:{space 3}log pseudolikelihood = {res:-422.96156}  
Iteration 4:{space 3}log pseudolikelihood = {res:-422.96146}  
Iteration 5:{space 3}log pseudolikelihood = {res:-422.96146}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3518.9142}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3518.6589}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3518.6586}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   442576
{txt}                                                Censored obs       = {res}   441775
                                                {txt}Uncensored obs     = {res}      801

                                                {txt}Wald chi2({res}16{txt})      = {res}   118.13
{txt}Log pseudolikelihood = {res}-3518.659                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition        {txt}{c |}
NewSenderIdeology {c |}{col 19}{res}{space 2} .1372476{col 31}{space 2} .0726504{col 42}{space 1}    1.89{col 51}{space 3}0.059{col 59}{space 4}-.0051445{col 72}{space 3} .2796397
{txt}NewTargetIdeology {c |}{col 19}{res}{space 2} .1269857{col 31}{space 2} .0708557{col 42}{space 1}    1.79{col 51}{space 3}0.073{col 59}{space 4}-.0118889{col 72}{space 3} .2658603
{txt}{space 6}WBScaleGovt {c |}{col 19}{res}{space 2}-.0657946{col 31}{space 2}  .058993{col 42}{space 1}   -1.12{col 51}{space 3}0.265{col 59}{space 4}-.1814187{col 72}{space 3} .0498296
{txt}{space 14}BIT {c |}{col 19}{res}{space 2} .2934784{col 31}{space 2} .5525897{col 42}{space 1}    0.53{col 51}{space 3}0.595{col 59}{space 4}-.7895775{col 72}{space 3} 1.376534
{txt}{space 14}IMF {c |}{col 19}{res}{space 2} .0049119{col 31}{space 2} .4946037{col 42}{space 1}    0.01{col 51}{space 3}0.992{col 59}{space 4}-.9644935{col 72}{space 3} .9743173
{txt}{space 14}WTO {c |}{col 19}{res}{space 2} .3353393{col 31}{space 2} .1629642{col 42}{space 1}    2.06{col 51}{space 3}0.040{col 59}{space 4} .0159353{col 72}{space 3} .6547432
{txt}{space 9}jointdem {c |}{col 19}{res}{space 2}-.7499381{col 31}{space 2} .2413097{col 42}{space 1}   -3.11{col 51}{space 3}0.002{col 59}{space 4}-1.222896{col 72}{space 3}-.2769798
{txt}{space 4}igomember_log {c |}{col 19}{res}{space 2} 1.019432{col 31}{space 2} .2833105{col 42}{space 1}    3.60{col 51}{space 3}0.000{col 59}{space 4} .4641536{col 72}{space 3}  1.57471
{txt}{space 6}lowtradedep {c |}{col 19}{res}{space 2} .0312254{col 31}{space 2} 5.189986{col 42}{space 1}    0.01{col 51}{space 3}0.995{col 59}{space 4}-10.14096{col 72}{space 3} 10.20341
{txt}{space 9}ussender {c |}{col 19}{res}{space 2} 1.220719{col 31}{space 2} .2706138{col 42}{space 1}    4.51{col 51}{space 3}0.000{col 59}{space 4} .6903262{col 72}{space 3} 1.751113
{txt}{space 9}polity21 {c |}{col 19}{res}{space 2}-.0218877{col 31}{space 2} .0223805{col 42}{space 1}   -0.98{col 51}{space 3}0.328{col 59}{space 4}-.0657526{col 72}{space 3} .0219772
{txt}{space 9}polity22 {c |}{col 19}{res}{space 2}  .017954{col 31}{space 2} .0194253{col 42}{space 1}    0.92{col 51}{space 3}0.355{col 59}{space 4} -.020119{col 72}{space 3} .0560269
{txt}{space 5}us_targetdem {c |}{col 19}{res}{space 2} .0285373{col 31}{space 2} .0217773{col 42}{space 1}    1.31{col 51}{space 3}0.190{col 59}{space 4}-.0141454{col 72}{space 3} .0712201
{txt}{space 7}alliance_r {c |}{col 19}{res}{space 2}-.1120016{col 31}{space 2}  .171068{col 42}{space 1}   -0.65{col 51}{space 3}0.513{col 59}{space 4}-.4472887{col 72}{space 3} .2232855
{txt}{space 9}capratio {c |}{col 19}{res}{space 2} -.097164{col 31}{space 2} .0486076{col 42}{space 1}   -2.00{col 51}{space 3}0.046{col 59}{space 4}-.1924332{col 72}{space 3}-.0018948
{txt}{space 11}cwongo {c |}{col 19}{res}{space 2} .1140999{col 31}{space 2} .3243764{col 42}{space 1}    0.35{col 51}{space 3}0.725{col 59}{space 4}-.5216662{col 72}{space 3} .7498659
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-5.520953{col 31}{space 2} 1.164798{col 42}{space 1}   -4.74{col 51}{space 3}0.000{col 59}{space 4}-7.803915{col 72}{space 3}-3.237991
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat            {txt}{c |}
NewSenderIdeology {c |}{col 19}{res}{space 2}-.0137233{col 31}{space 2} .0245551{col 42}{space 1}   -0.56{col 51}{space 3}0.576{col 59}{space 4}-.0618505{col 72}{space 3} .0344038
{txt}NewTargetIdeology {c |}{col 19}{res}{space 2} .0475677{col 31}{space 2}  .024816{col 42}{space 1}    1.92{col 51}{space 3}0.055{col 59}{space 4}-.0010707{col 72}{space 3} .0962061
{txt}{space 6}WBScaleGovt {c |}{col 19}{res}{space 2}-.0506614{col 31}{space 2} .0275889{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-.1047347{col 72}{space 3}  .003412
{txt}{space 14}BIT {c |}{col 19}{res}{space 2}-.0394682{col 31}{space 2} .1948283{col 42}{space 1}   -0.20{col 51}{space 3}0.839{col 59}{space 4}-.4213247{col 72}{space 3} .3423883
{txt}{space 14}IMF {c |}{col 19}{res}{space 2} .0479291{col 31}{space 2} .1617745{col 42}{space 1}    0.30{col 51}{space 3}0.767{col 59}{space 4} -.269143{col 72}{space 3} .3650013
{txt}{space 14}WTO {c |}{col 19}{res}{space 2}-.1171567{col 31}{space 2} .0682587{col 42}{space 1}   -1.72{col 51}{space 3}0.086{col 59}{space 4}-.2509413{col 72}{space 3} .0166279
{txt}{space 9}jointdem {c |}{col 19}{res}{space 2}-.1643867{col 31}{space 2}  .113354{col 42}{space 1}   -1.45{col 51}{space 3}0.147{col 59}{space 4}-.3865565{col 72}{space 3} .0577831
{txt}{space 4}igomember_log {c |}{col 19}{res}{space 2} .8173651{col 31}{space 2} .1630069{col 42}{space 1}    5.01{col 51}{space 3}0.000{col 59}{space 4} .4978775{col 72}{space 3} 1.136853
{txt}{space 6}lowtradedep {c |}{col 19}{res}{space 2} 10.27553{col 31}{space 2} 2.912254{col 42}{space 1}    3.53{col 51}{space 3}0.000{col 59}{space 4} 4.567613{col 72}{space 3} 15.98344
{txt}{space 9}ussender {c |}{col 19}{res}{space 2} 2.046197{col 31}{space 2} .1345629{col 42}{space 1}   15.21{col 51}{space 3}0.000{col 59}{space 4} 1.782459{col 72}{space 3} 2.309935
{txt}{space 9}polity21 {c |}{col 19}{res}{space 2} .0173874{col 31}{space 2} .0075638{col 42}{space 1}    2.30{col 51}{space 3}0.022{col 59}{space 4} .0025625{col 72}{space 3} .0322122
{txt}{space 9}polity22 {c |}{col 19}{res}{space 2} .0162981{col 31}{space 2} .0079386{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0007388{col 72}{space 3} .0318574
{txt}{space 5}us_targetdem {c |}{col 19}{res}{space 2}-.0362257{col 31}{space 2} .0114476{col 42}{space 1}   -3.16{col 51}{space 3}0.002{col 59}{space 4}-.0586626{col 72}{space 3}-.0137888
{txt}{space 7}alliance_r {c |}{col 19}{res}{space 2} .3947161{col 31}{space 2} .0964537{col 42}{space 1}    4.09{col 51}{space 3}0.000{col 59}{space 4} .2056702{col 72}{space 3} .5837619
{txt}{space 9}capratio {c |}{col 19}{res}{space 2} -.015392{col 31}{space 2} .0164972{col 42}{space 1}   -0.93{col 51}{space 3}0.351{col 59}{space 4} -.047726{col 72}{space 3}  .016942
{txt}{space 11}cwongo {c |}{col 19}{res}{space 2}  1.27721{col 31}{space 2} .1637083{col 42}{space 1}    7.80{col 51}{space 3}0.000{col 59}{space 4} .9563479{col 72}{space 3} 1.598072
{txt}{space 3}threat_years_i {c |}{col 19}{res}{space 2}-.2804315{col 31}{space 2} .0222936{col 42}{space 1}  -12.58{col 51}{space 3}0.000{col 59}{space 4}-.3241261{col 72}{space 3}-.2367368
{txt}{space 2}threat_years2_i {c |}{col 19}{res}{space 2} .0157589{col 31}{space 2} .0015936{col 42}{space 1}    9.89{col 51}{space 3}0.000{col 59}{space 4} .0126356{col 72}{space 3} .0188822
{txt}{space 2}threat_years3_i {c |}{col 19}{res}{space 2}-.0002709{col 31}{space 2} .0000345{col 42}{space 1}   -7.86{col 51}{space 3}0.000{col 59}{space 4}-.0003385{col 72}{space 3}-.0002033
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-4.957147{col 31}{space 2} .5811921{col 42}{space 1}   -8.53{col 51}{space 3}0.000{col 59}{space 4}-6.096262{col 72}{space 3}-3.818031
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /athrho {c |}{col 19}{res}{space 2}  .359091{col 31}{space 2}   .15886{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .0477311{col 72}{space 3} .6704509
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              rho{col 19}{c |}{res}{space 2} .3444131{col 31}{space 2}  .140016{col 59}{space 4} .0476949{col 72}{space 3} .5852764
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    5.11   {txt}Prob > chi2 = {res}0.0238
{txt}
{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat NewSenderIdeology NewTargetIdeology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3966.2622}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3218.028}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3121.1641}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3118.3565}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3118.3451}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3118.3451}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1952.97
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3118.3451{txt}{col 51}Pseudo R2{col 67}= {res}    0.4677

{txt}{ralign 83:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           threat{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
NewSenderIdeology {c |}{col 19}{res}{space 2}-.0508766{col 31}{space 2} .0650731{col 42}{space 1}   -0.78{col 51}{space 3}0.434{col 59}{space 4}-.1784176{col 72}{space 3} .0766644
{txt}NewTargetIdeology {c |}{col 19}{res}{space 2} .1118597{col 31}{space 2} .0714729{col 42}{space 1}    1.57{col 51}{space 3}0.118{col 59}{space 4}-.0282246{col 72}{space 3} .2519441
{txt}{space 6}WBScaleGovt {c |}{col 19}{res}{space 2}-.1239847{col 31}{space 2} .0729858{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-.2670341{col 72}{space 3} .0190648
{txt}{space 14}BIT {c |}{col 19}{res}{space 2} -.131726{col 31}{space 2} .4613491{col 42}{space 1}   -0.29{col 51}{space 3}0.775{col 59}{space 4}-1.035954{col 72}{space 3} .7725015
{txt}{space 14}IMF {c |}{col 19}{res}{space 2} .4289355{col 31}{space 2} .4384459{col 42}{space 1}    0.98{col 51}{space 3}0.328{col 59}{space 4}-.4304027{col 72}{space 3} 1.288274
{txt}{space 14}WTO {c |}{col 19}{res}{space 2}-.4289186{col 31}{space 2} .1735817{col 42}{space 1}   -2.47{col 51}{space 3}0.013{col 59}{space 4}-.7691325{col 72}{space 3}-.0887047
{txt}{space 9}jointdem {c |}{col 19}{res}{space 2}-.3496377{col 31}{space 2} .3199037{col 42}{space 1}   -1.09{col 51}{space 3}0.274{col 59}{space 4}-.9766374{col 72}{space 3} .2773621
{txt}{space 4}igomember_log {c |}{col 19}{res}{space 2} 1.931506{col 31}{space 2} .4444501{col 42}{space 1}    4.35{col 51}{space 3}0.000{col 59}{space 4}   1.0604{col 72}{space 3} 2.802612
{txt}{space 6}lowtradedep {c |}{col 19}{res}{space 2} 23.63549{col 31}{space 2} 6.434752{col 42}{space 1}    3.67{col 51}{space 3}0.000{col 59}{space 4} 11.02361{col 72}{space 3} 36.24737
{txt}{space 9}ussender {c |}{col 19}{res}{space 2} 5.098649{col 31}{space 2} .3737915{col 42}{space 1}   13.64{col 51}{space 3}0.000{col 59}{space 4} 4.366031{col 72}{space 3} 5.831267
{txt}{space 9}polity21 {c |}{col 19}{res}{space 2} .0601566{col 31}{space 2} .0232057{col 42}{space 1}    2.59{col 51}{space 3}0.010{col 59}{space 4} .0146743{col 72}{space 3} .1056388
{txt}{space 9}polity22 {c |}{col 19}{res}{space 2} .0598275{col 31}{space 2} .0253646{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .0101139{col 72}{space 3} .1095411
{txt}{space 5}us_targetdem {c |}{col 19}{res}{space 2}-.1135799{col 31}{space 2} .0274881{col 42}{space 1}   -4.13{col 51}{space 3}0.000{col 59}{space 4}-.1674556{col 72}{space 3}-.0597041
{txt}{space 7}alliance_r {c |}{col 19}{res}{space 2} .9281594{col 31}{space 2} .2570261{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .4243975{col 72}{space 3} 1.431921
{txt}{space 9}capratio {c |}{col 19}{res}{space 2}-.0623422{col 31}{space 2} .0504076{col 42}{space 1}   -1.24{col 51}{space 3}0.216{col 59}{space 4}-.1611393{col 72}{space 3} .0364548
{txt}{space 11}cwongo {c |}{col 19}{res}{space 2} 3.186402{col 31}{space 2} .4876849{col 42}{space 1}    6.53{col 51}{space 3}0.000{col 59}{space 4} 2.230558{col 72}{space 3} 4.142247
{txt}{space 3}threat_years_i {c |}{col 19}{res}{space 2}-.6414143{col 31}{space 2} .0582943{col 42}{space 1}  -11.00{col 51}{space 3}0.000{col 59}{space 4}-.7556689{col 72}{space 3}-.5271596
{txt}{space 2}threat_years2_i {c |}{col 19}{res}{space 2} .0372746{col 31}{space 2} .0041405{col 42}{space 1}    9.00{col 51}{space 3}0.000{col 59}{space 4} .0291594{col 72}{space 3} .0453899
{txt}{space 2}threat_years3_i {c |}{col 19}{res}{space 2} -.000655{col 31}{space 2} .0000892{col 42}{space 1}   -7.34{col 51}{space 3}0.000{col 59}{space 4}-.0008298{col 72}{space 3}-.0004801
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-11.92849{col 31}{space 2} 1.506887{col 42}{space 1}   -7.92{col 51}{space 3}0.000{col 59}{space 4}-14.88193{col 72}{space 3}-8.975044
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition NewSenderIdeology NewTargetIdeology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-484.72777}  
Iteration 1:{space 3}log pseudolikelihood = {res:-430.03805}  
Iteration 2:{space 3}log pseudolikelihood = {res:-427.10494}  
Iteration 3:{space 3}log pseudolikelihood = {res:-427.05077}  
Iteration 4:{space 3}log pseudolikelihood = {res:-427.05069}  
Iteration 5:{space 3}log pseudolikelihood = {res:-427.05069}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       801
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     73.06
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-427.05069{txt}{col 51}Pseudo R2{col 67}= {res}    0.1190

{txt}{ralign 83:(Std. Err. adjusted for {res:211} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}       imposition{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
NewSenderIdeology {c |}{col 19}{res}{space 2} .2786865{col 31}{space 2} .1190596{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4} .0453341{col 72}{space 3}  .512039
{txt}NewTargetIdeology {c |}{col 19}{res}{space 2} .2015075{col 31}{space 2} .1251181{col 42}{space 1}    1.61{col 51}{space 3}0.107{col 59}{space 4}-.0437194{col 72}{space 3} .4467344
{txt}{space 6}WBScaleGovt {c |}{col 19}{res}{space 2} -.101958{col 31}{space 2} .1068623{col 42}{space 1}   -0.95{col 51}{space 3}0.340{col 59}{space 4}-.3114043{col 72}{space 3} .1074884
{txt}{space 14}BIT {c |}{col 19}{res}{space 2} .5573406{col 31}{space 2} 1.053592{col 42}{space 1}    0.53{col 51}{space 3}0.597{col 59}{space 4}-1.507661{col 72}{space 3} 2.622342
{txt}{space 14}IMF {c |}{col 19}{res}{space 2}-.0540262{col 31}{space 2} .8793946{col 42}{space 1}   -0.06{col 51}{space 3}0.951{col 59}{space 4}-1.777608{col 72}{space 3} 1.669556
{txt}{space 14}WTO {c |}{col 19}{res}{space 2} .6300318{col 31}{space 2} .2876758{col 42}{space 1}    2.19{col 51}{space 3}0.029{col 59}{space 4} .0661977{col 72}{space 3} 1.193866
{txt}{space 9}jointdem {c |}{col 19}{res}{space 2}-1.300323{col 31}{space 2} .4297058{col 42}{space 1}   -3.03{col 51}{space 3}0.002{col 59}{space 4}-2.142531{col 72}{space 3}-.4581153
{txt}{space 4}igomember_log {c |}{col 19}{res}{space 2} 1.449411{col 31}{space 2} .5118613{col 42}{space 1}    2.83{col 51}{space 3}0.005{col 59}{space 4} .4461813{col 72}{space 3} 2.452641
{txt}{space 6}lowtradedep {c |}{col 19}{res}{space 2}-4.183657{col 31}{space 2} 8.344092{col 42}{space 1}   -0.50{col 51}{space 3}0.616{col 59}{space 4}-20.53778{col 72}{space 3} 12.17046
{txt}{space 9}ussender {c |}{col 19}{res}{space 2}  .955886{col 31}{space 2} .4135771{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .1452897{col 72}{space 3} 1.766482
{txt}{space 9}polity21 {c |}{col 19}{res}{space 2} -.043733{col 31}{space 2} .0385327{col 42}{space 1}   -1.13{col 51}{space 3}0.256{col 59}{space 4}-.1192557{col 72}{space 3} .0317896
{txt}{space 9}polity22 {c |}{col 19}{res}{space 2} .0275556{col 31}{space 2} .0363764{col 42}{space 1}    0.76{col 51}{space 3}0.449{col 59}{space 4}-.0437409{col 72}{space 3} .0988521
{txt}{space 5}us_targetdem {c |}{col 19}{res}{space 2}  .073938{col 31}{space 2} .0439649{col 42}{space 1}    1.68{col 51}{space 3}0.093{col 59}{space 4}-.0122317{col 72}{space 3} .1601076
{txt}{space 7}alliance_r {c |}{col 19}{res}{space 2}-.3326119{col 31}{space 2} .3004865{col 42}{space 1}   -1.11{col 51}{space 3}0.268{col 59}{space 4}-.9215546{col 72}{space 3} .2563308
{txt}{space 9}capratio {c |}{col 19}{res}{space 2}-.1534527{col 31}{space 2} .0902795{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-.3303973{col 72}{space 3} .0234919
{txt}{space 11}cwongo {c |}{col 19}{res}{space 2} -.509381{col 31}{space 2} .5166812{col 42}{space 1}   -0.99{col 51}{space 3}0.324{col 59}{space 4}-1.522057{col 72}{space 3} .5032954
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -6.42892{col 31}{space 2} 1.948758{col 42}{space 1}   -3.30{col 51}{space 3}0.001{col 59}{space 4}-10.24842{col 72}{space 3}-2.609425
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat NewSenderIdeology NewTargetIdeology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3966.2622}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3218.028}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3121.1641}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3118.3565}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3118.3451}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3118.3451}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1952.97
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3118.3451{txt}{col 51}Pseudo R2{col 67}= {res}    0.4677

{txt}{ralign 83:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           threat{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
NewSenderIdeology {c |}{col 19}{res}{space 2}-.0508766{col 31}{space 2} .0650731{col 42}{space 1}   -0.78{col 51}{space 3}0.434{col 59}{space 4}-.1784176{col 72}{space 3} .0766644
{txt}NewTargetIdeology {c |}{col 19}{res}{space 2} .1118597{col 31}{space 2} .0714729{col 42}{space 1}    1.57{col 51}{space 3}0.118{col 59}{space 4}-.0282246{col 72}{space 3} .2519441
{txt}{space 6}WBScaleGovt {c |}{col 19}{res}{space 2}-.1239847{col 31}{space 2} .0729858{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-.2670341{col 72}{space 3} .0190648
{txt}{space 14}BIT {c |}{col 19}{res}{space 2} -.131726{col 31}{space 2} .4613491{col 42}{space 1}   -0.29{col 51}{space 3}0.775{col 59}{space 4}-1.035954{col 72}{space 3} .7725015
{txt}{space 14}IMF {c |}{col 19}{res}{space 2} .4289355{col 31}{space 2} .4384459{col 42}{space 1}    0.98{col 51}{space 3}0.328{col 59}{space 4}-.4304027{col 72}{space 3} 1.288274
{txt}{space 14}WTO {c |}{col 19}{res}{space 2}-.4289186{col 31}{space 2} .1735817{col 42}{space 1}   -2.47{col 51}{space 3}0.013{col 59}{space 4}-.7691325{col 72}{space 3}-.0887047
{txt}{space 9}jointdem {c |}{col 19}{res}{space 2}-.3496377{col 31}{space 2} .3199037{col 42}{space 1}   -1.09{col 51}{space 3}0.274{col 59}{space 4}-.9766374{col 72}{space 3} .2773621
{txt}{space 4}igomember_log {c |}{col 19}{res}{space 2} 1.931506{col 31}{space 2} .4444501{col 42}{space 1}    4.35{col 51}{space 3}0.000{col 59}{space 4}   1.0604{col 72}{space 3} 2.802612
{txt}{space 6}lowtradedep {c |}{col 19}{res}{space 2} 23.63549{col 31}{space 2} 6.434752{col 42}{space 1}    3.67{col 51}{space 3}0.000{col 59}{space 4} 11.02361{col 72}{space 3} 36.24737
{txt}{space 9}ussender {c |}{col 19}{res}{space 2} 5.098649{col 31}{space 2} .3737915{col 42}{space 1}   13.64{col 51}{space 3}0.000{col 59}{space 4} 4.366031{col 72}{space 3} 5.831267
{txt}{space 9}polity21 {c |}{col 19}{res}{space 2} .0601566{col 31}{space 2} .0232057{col 42}{space 1}    2.59{col 51}{space 3}0.010{col 59}{space 4} .0146743{col 72}{space 3} .1056388
{txt}{space 9}polity22 {c |}{col 19}{res}{space 2} .0598275{col 31}{space 2} .0253646{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .0101139{col 72}{space 3} .1095411
{txt}{space 5}us_targetdem {c |}{col 19}{res}{space 2}-.1135799{col 31}{space 2} .0274881{col 42}{space 1}   -4.13{col 51}{space 3}0.000{col 59}{space 4}-.1674556{col 72}{space 3}-.0597041
{txt}{space 7}alliance_r {c |}{col 19}{res}{space 2} .9281594{col 31}{space 2} .2570261{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .4243975{col 72}{space 3} 1.431921
{txt}{space 9}capratio {c |}{col 19}{res}{space 2}-.0623422{col 31}{space 2} .0504076{col 42}{space 1}   -1.24{col 51}{space 3}0.216{col 59}{space 4}-.1611393{col 72}{space 3} .0364548
{txt}{space 11}cwongo {c |}{col 19}{res}{space 2} 3.186402{col 31}{space 2} .4876849{col 42}{space 1}    6.53{col 51}{space 3}0.000{col 59}{space 4} 2.230558{col 72}{space 3} 4.142247
{txt}{space 3}threat_years_i {c |}{col 19}{res}{space 2}-.6414143{col 31}{space 2} .0582943{col 42}{space 1}  -11.00{col 51}{space 3}0.000{col 59}{space 4}-.7556689{col 72}{space 3}-.5271596
{txt}{space 2}threat_years2_i {c |}{col 19}{res}{space 2} .0372746{col 31}{space 2} .0041405{col 42}{space 1}    9.00{col 51}{space 3}0.000{col 59}{space 4} .0291594{col 72}{space 3} .0453899
{txt}{space 2}threat_years3_i {c |}{col 19}{res}{space 2} -.000655{col 31}{space 2} .0000892{col 42}{space 1}   -7.34{col 51}{space 3}0.000{col 59}{space 4}-.0008298{col 72}{space 3}-.0004801
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-11.92849{col 31}{space 2} 1.506887{col 42}{space 1}   -7.92{col 51}{space 3}0.000{col 59}{space 4}-14.88193{col 72}{space 3}-8.975044
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp NewSenderIdeology NewTargetIdeology WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-245.64246}  
Iteration 1:{space 3}log pseudolikelihood = {res:-163.44672}  
Iteration 2:{space 3}log pseudolikelihood = {res:-147.01468}  
Iteration 3:{space 3}log pseudolikelihood = {res:-144.08223}  
Iteration 4:{space 3}log pseudolikelihood = {res:-143.63062}  
Iteration 5:{space 3}log pseudolikelihood = {res: -143.6079}  
Iteration 6:{space 3}log pseudolikelihood = {res:-143.60786}  
Iteration 7:{space 3}log pseudolikelihood = {res:-143.60786}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       492
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     60.93
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-143.60786{txt}{col 51}Pseudo R2{col 67}= {res}    0.4154

{txt}{ralign 92:(Std. Err. adjusted for {res:155} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}NewSenderIdeology {c |}{col 28}{res}{space 2}-.2076515{col 40}{space 2} .2367075{col 51}{space 1}   -0.88{col 60}{space 3}0.380{col 68}{space 4}-.6715897{col 81}{space 3} .2562867
{txt}{space 9}NewTargetIdeology {c |}{col 28}{res}{space 2} .1099795{col 40}{space 2} .2130252{col 51}{space 1}    0.52{col 60}{space 3}0.606{col 68}{space 4}-.3075423{col 81}{space 3} .5275013
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .0704757{col 40}{space 2} .2103252{col 51}{space 1}    0.34{col 60}{space 3}0.738{col 68}{space 4}-.3417542{col 81}{space 3} .4827056
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.965586{col 40}{space 2} 1.316219{col 51}{space 1}    2.25{col 60}{space 3}0.024{col 68}{space 4}  .385845{col 81}{space 3} 5.545327
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.2248361{col 40}{space 2}  .752428{col 51}{space 1}   -0.30{col 60}{space 3}0.765{col 68}{space 4}-1.699568{col 81}{space 3} 1.249896
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.293712{col 40}{space 2} 1.017037{col 51}{space 1}   -1.27{col 60}{space 3}0.203{col 68}{space 4}-3.287068{col 81}{space 3} .6996444
{txt}{space 24}3  {c |}{col 28}{res}{space 2} -2.78414{col 40}{space 2} .8609215{col 51}{space 1}   -3.23{col 60}{space 3}0.001{col 68}{space 4}-4.471516{col 81}{space 3}-1.096765
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.377608{col 40}{space 2} 1.156568{col 51}{space 1}   -1.19{col 60}{space 3}0.234{col 68}{space 4}-3.644439{col 81}{space 3} .8892233
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.038966{col 40}{space 2} .9278531{col 51}{space 1}    1.12{col 60}{space 3}0.263{col 68}{space 4} -.779593{col 81}{space 3} 2.857524
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0060744{col 40}{space 2} .0908018{col 51}{space 1}   -0.07{col 60}{space 3}0.947{col 68}{space 4}-.1840428{col 81}{space 3} .1718939
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0264529{col 40}{space 2} .1365079{col 51}{space 1}    0.19{col 60}{space 3}0.846{col 68}{space 4}-.2410977{col 81}{space 3} .2940035
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-2.202778{col 40}{space 2} 1.394052{col 51}{space 1}   -1.58{col 60}{space 3}0.114{col 68}{space 4} -4.93507{col 81}{space 3} .5295139
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-1.094933{col 40}{space 2} 1.104277{col 51}{space 1}   -0.99{col 60}{space 3}0.321{col 68}{space 4}-3.259277{col 81}{space 3}  1.06941
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.491438{col 40}{space 2} 1.126612{col 51}{space 1}    2.21{col 60}{space 3}0.027{col 68}{space 4} .2833195{col 81}{space 3} 4.699557
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.693571{col 40}{space 2} .8141748{col 51}{space 1}    2.08{col 60}{space 3}0.038{col 68}{space 4} .0978183{col 81}{space 3} 3.289325
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-321.0178{col 40}{space 2} 434.1327{col 51}{space 1}   -0.74{col 60}{space 3}0.460{col 68}{space 4}-1171.902{col 81}{space 3} 529.8667
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .0673144{col 40}{space 2} 1.160128{col 51}{space 1}    0.06{col 60}{space 3}0.954{col 68}{space 4}-2.206495{col 81}{space 3} 2.341124
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1466125{col 40}{space 2} .1529143{col 51}{space 1}    0.96{col 60}{space 3}0.338{col 68}{space 4} -.153094{col 81}{space 3} .4463191
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1083737{col 40}{space 2} .0949623{col 51}{space 1}   -1.14{col 60}{space 3}0.254{col 68}{space 4}-.2944964{col 81}{space 3}  .077749
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}  -.07505{col 40}{space 2} .0864307{col 51}{space 1}   -0.87{col 60}{space 3}0.385{col 68}{space 4}-.2444511{col 81}{space 3} .0943512
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .3783584{col 40}{space 2} .7449132{col 51}{space 1}    0.51{col 60}{space 3}0.612{col 68}{space 4}-1.081645{col 81}{space 3} 1.838361
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1386999{col 40}{space 2} .1732982{col 51}{space 1}    0.80{col 60}{space 3}0.424{col 68}{space 4}-.2009584{col 81}{space 3} .4783581
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.3856921{col 40}{space 2} .6691691{col 51}{space 1}   -0.58{col 60}{space 3}0.564{col 68}{space 4} -1.69724{col 81}{space 3} .9258553
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-7.222948{col 40}{space 2} 2.714698{col 51}{space 1}   -2.66{col 60}{space 3}0.008{col 68}{space 4}-12.54366{col 81}{space 3}-1.902238
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat NewSenderIdeology NewTargetIdeology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3966.2622}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3218.028}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3121.1641}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3118.3565}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3118.3451}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3118.3451}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1952.97
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3118.3451{txt}{col 51}Pseudo R2{col 67}= {res}    0.4677

{txt}{ralign 83:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           threat{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
NewSenderIdeology {c |}{col 19}{res}{space 2}-.0508766{col 31}{space 2} .0650731{col 42}{space 1}   -0.78{col 51}{space 3}0.434{col 59}{space 4}-.1784176{col 72}{space 3} .0766644
{txt}NewTargetIdeology {c |}{col 19}{res}{space 2} .1118597{col 31}{space 2} .0714729{col 42}{space 1}    1.57{col 51}{space 3}0.118{col 59}{space 4}-.0282246{col 72}{space 3} .2519441
{txt}{space 6}WBScaleGovt {c |}{col 19}{res}{space 2}-.1239847{col 31}{space 2} .0729858{col 42}{space 1}   -1.70{col 51}{space 3}0.089{col 59}{space 4}-.2670341{col 72}{space 3} .0190648
{txt}{space 14}BIT {c |}{col 19}{res}{space 2} -.131726{col 31}{space 2} .4613491{col 42}{space 1}   -0.29{col 51}{space 3}0.775{col 59}{space 4}-1.035954{col 72}{space 3} .7725015
{txt}{space 14}IMF {c |}{col 19}{res}{space 2} .4289355{col 31}{space 2} .4384459{col 42}{space 1}    0.98{col 51}{space 3}0.328{col 59}{space 4}-.4304027{col 72}{space 3} 1.288274
{txt}{space 14}WTO {c |}{col 19}{res}{space 2}-.4289186{col 31}{space 2} .1735817{col 42}{space 1}   -2.47{col 51}{space 3}0.013{col 59}{space 4}-.7691325{col 72}{space 3}-.0887047
{txt}{space 9}jointdem {c |}{col 19}{res}{space 2}-.3496377{col 31}{space 2} .3199037{col 42}{space 1}   -1.09{col 51}{space 3}0.274{col 59}{space 4}-.9766374{col 72}{space 3} .2773621
{txt}{space 4}igomember_log {c |}{col 19}{res}{space 2} 1.931506{col 31}{space 2} .4444501{col 42}{space 1}    4.35{col 51}{space 3}0.000{col 59}{space 4}   1.0604{col 72}{space 3} 2.802612
{txt}{space 6}lowtradedep {c |}{col 19}{res}{space 2} 23.63549{col 31}{space 2} 6.434752{col 42}{space 1}    3.67{col 51}{space 3}0.000{col 59}{space 4} 11.02361{col 72}{space 3} 36.24737
{txt}{space 9}ussender {c |}{col 19}{res}{space 2} 5.098649{col 31}{space 2} .3737915{col 42}{space 1}   13.64{col 51}{space 3}0.000{col 59}{space 4} 4.366031{col 72}{space 3} 5.831267
{txt}{space 9}polity21 {c |}{col 19}{res}{space 2} .0601566{col 31}{space 2} .0232057{col 42}{space 1}    2.59{col 51}{space 3}0.010{col 59}{space 4} .0146743{col 72}{space 3} .1056388
{txt}{space 9}polity22 {c |}{col 19}{res}{space 2} .0598275{col 31}{space 2} .0253646{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .0101139{col 72}{space 3} .1095411
{txt}{space 5}us_targetdem {c |}{col 19}{res}{space 2}-.1135799{col 31}{space 2} .0274881{col 42}{space 1}   -4.13{col 51}{space 3}0.000{col 59}{space 4}-.1674556{col 72}{space 3}-.0597041
{txt}{space 7}alliance_r {c |}{col 19}{res}{space 2} .9281594{col 31}{space 2} .2570261{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .4243975{col 72}{space 3} 1.431921
{txt}{space 9}capratio {c |}{col 19}{res}{space 2}-.0623422{col 31}{space 2} .0504076{col 42}{space 1}   -1.24{col 51}{space 3}0.216{col 59}{space 4}-.1611393{col 72}{space 3} .0364548
{txt}{space 11}cwongo {c |}{col 19}{res}{space 2} 3.186402{col 31}{space 2} .4876849{col 42}{space 1}    6.53{col 51}{space 3}0.000{col 59}{space 4} 2.230558{col 72}{space 3} 4.142247
{txt}{space 3}threat_years_i {c |}{col 19}{res}{space 2}-.6414143{col 31}{space 2} .0582943{col 42}{space 1}  -11.00{col 51}{space 3}0.000{col 59}{space 4}-.7556689{col 72}{space 3}-.5271596
{txt}{space 2}threat_years2_i {c |}{col 19}{res}{space 2} .0372746{col 31}{space 2} .0041405{col 42}{space 1}    9.00{col 51}{space 3}0.000{col 59}{space 4} .0291594{col 72}{space 3} .0453899
{txt}{space 2}threat_years3_i {c |}{col 19}{res}{space 2} -.000655{col 31}{space 2} .0000892{col 42}{space 1}   -7.34{col 51}{space 3}0.000{col 59}{space 4}-.0008298{col 72}{space 3}-.0004801
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-11.92849{col 31}{space 2} 1.506887{col 42}{space 1}   -7.92{col 51}{space 3}0.000{col 59}{space 4}-14.88193{col 72}{space 3}-8.975044
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp NewSenderIdeology NewTargetIdeology WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-274.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.96935}  
Iteration 2:{space 3}log pseudolikelihood = {res:-193.21709}  
Iteration 3:{space 3}log pseudolikelihood = {res:-193.04319}  
Iteration 4:{space 3}log pseudolikelihood = {res:-193.04307}  
Iteration 5:{space 3}log pseudolikelihood = {res:-193.04307}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       492
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     73.71
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-193.04307{txt}{col 51}Pseudo R2{col 67}= {res}    0.2966

{txt}{ralign 92:(Std. Err. adjusted for {res:155} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}NewSenderIdeology {c |}{col 28}{res}{space 2}-.2858059{col 40}{space 2} .2719545{col 51}{space 1}   -1.05{col 60}{space 3}0.293{col 68}{space 4}-.8188268{col 81}{space 3} .2472151
{txt}{space 9}NewTargetIdeology {c |}{col 28}{res}{space 2}-.4011068{col 40}{space 2} .1563728{col 51}{space 1}   -2.57{col 60}{space 3}0.010{col 68}{space 4}-.7075919{col 81}{space 3}-.0946218
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .0491632{col 40}{space 2} .2729625{col 51}{space 1}    0.18{col 60}{space 3}0.857{col 68}{space 4}-.4858335{col 81}{space 3} .5841598
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-.6107462{col 40}{space 2} 1.158185{col 51}{space 1}   -0.53{col 60}{space 3}0.598{col 68}{space 4}-2.880748{col 81}{space 3} 1.659255
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.6295397{col 40}{space 2} .6378911{col 51}{space 1}   -0.99{col 60}{space 3}0.324{col 68}{space 4}-1.879783{col 81}{space 3}  .620704
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.295546{col 40}{space 2} .8536855{col 51}{space 1}    2.69{col 60}{space 3}0.007{col 68}{space 4} .6223536{col 81}{space 3} 3.968739
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .5675363{col 40}{space 2} .8155068{col 51}{space 1}    0.70{col 60}{space 3}0.486{col 68}{space 4}-1.030828{col 81}{space 3}   2.1659
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.171932{col 40}{space 2} 1.133743{col 51}{space 1}    2.80{col 60}{space 3}0.005{col 68}{space 4} .9498372{col 81}{space 3} 5.394026
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1952901{col 40}{space 2} 1.017838{col 51}{space 1}   -0.19{col 60}{space 3}0.848{col 68}{space 4}-2.190216{col 81}{space 3} 1.799635
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0953723{col 40}{space 2} .1007795{col 51}{space 1}   -0.95{col 60}{space 3}0.344{col 68}{space 4}-.2928965{col 81}{space 3} .1021518
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.1154335{col 40}{space 2} .1228802{col 51}{space 1}   -0.94{col 60}{space 3}0.348{col 68}{space 4}-.3562744{col 81}{space 3} .1254073
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.6058402{col 40}{space 2} 1.001016{col 51}{space 1}   -0.61{col 60}{space 3}0.545{col 68}{space 4}-2.567795{col 81}{space 3} 1.356115
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.1816097{col 40}{space 2} .6363441{col 51}{space 1}   -0.29{col 60}{space 3}0.775{col 68}{space 4}-1.428821{col 81}{space 3} 1.065602
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.272351{col 40}{space 2} .8159388{col 51}{space 1}    1.56{col 60}{space 3}0.119{col 68}{space 4}  -.32686{col 81}{space 3} 2.871561
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.4768357{col 40}{space 2} .6521999{col 51}{space 1}   -0.73{col 60}{space 3}0.465{col 68}{space 4}-1.755124{col 81}{space 3} .8014526
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-34.62523{col 40}{space 2} 30.97272{col 51}{space 1}   -1.12{col 60}{space 3}0.264{col 68}{space 4}-95.33066{col 81}{space 3} 26.08019
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.225298{col 40}{space 2} .5727059{col 51}{space 1}   -3.89{col 60}{space 3}0.000{col 68}{space 4}-3.347781{col 81}{space 3}-1.102815
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0489632{col 40}{space 2} .0630013{col 51}{space 1}   -0.78{col 60}{space 3}0.437{col 68}{space 4}-.1724434{col 81}{space 3}  .074517
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0299948{col 40}{space 2} .0642418{col 51}{space 1}    0.47{col 60}{space 3}0.641{col 68}{space 4}-.0959169{col 81}{space 3} .1559064
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1148589{col 40}{space 2} .0637604{col 51}{space 1}   -1.80{col 60}{space 3}0.072{col 68}{space 4}-.2398269{col 81}{space 3} .0101092
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.3554649{col 40}{space 2} .4437149{col 51}{space 1}   -0.80{col 60}{space 3}0.423{col 68}{space 4} -1.22513{col 81}{space 3} .5142003
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2485137{col 40}{space 2} .1413638{col 51}{space 1}    1.76{col 60}{space 3}0.079{col 68}{space 4}-.0285543{col 81}{space 3} .5255817
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.5799714{col 40}{space 2}  .704057{col 51}{space 1}   -0.82{col 60}{space 3}0.410{col 68}{space 4}-1.959898{col 81}{space 3}  .799955
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 3.821092{col 40}{space 2} 2.170885{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4}-.4337636{col 81}{space 3} 8.075948
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table8 , word label title(Table 8: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table8.rtf"'"':Table8.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table8.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 9****
. *Models 1 and 2*
. heckprob imposition SenderP1Ideology TargetP1Ideology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat= SenderP1Ideology TargetP1Ideology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-484.72777}  
Iteration 1:{space 3}log pseudolikelihood = {res:-427.54144}  
Iteration 2:{space 3}log pseudolikelihood = {res:-426.34399}  
Iteration 3:{space 3}log pseudolikelihood = {res:-426.33122}  
Iteration 4:{space 3}log pseudolikelihood = {res:-426.33122}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4155.0449}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3128.589}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3100.2373}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3099.8588}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3099.8586}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-555.21089}  
Iteration 1:{space 3}log pseudolikelihood = {res:-425.18782}  
Iteration 2:{space 3}log pseudolikelihood = {res:-422.72236}  
Iteration 3:{space 3}log pseudolikelihood = {res:-422.66838}  
Iteration 4:{space 3}log pseudolikelihood = {res:-422.66827}  
Iteration 5:{space 3}log pseudolikelihood = {res:-422.66827}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3522.8052}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3522.5127}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3522.512}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3522.512}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   442576
{txt}                                                Censored obs       = {res}   441775
                                                {txt}Uncensored obs     = {res}      801

                                                {txt}Wald chi2({res}16{txt})      = {res}   132.02
{txt}Log pseudolikelihood = {res}-3522.512                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 82:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition       {txt}{c |}
SenderP1Ideology {c |}{col 18}{res}{space 2} .0875061{col 30}{space 2} .0667512{col 41}{space 1}    1.31{col 50}{space 3}0.190{col 58}{space 4}-.0433239{col 71}{space 3} .2183361
{txt}TargetP1Ideology {c |}{col 18}{res}{space 2} .1632573{col 30}{space 2} .0750579{col 41}{space 1}    2.18{col 50}{space 3}0.030{col 58}{space 4} .0161466{col 71}{space 3} .3103681
{txt}{space 5}WBScaleGovt {c |}{col 18}{res}{space 2}-.0586493{col 30}{space 2}  .056101{col 41}{space 1}   -1.05{col 50}{space 3}0.296{col 58}{space 4}-.1686052{col 71}{space 3} .0513067
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .3670727{col 30}{space 2} .5378204{col 41}{space 1}    0.68{col 50}{space 3}0.495{col 58}{space 4} -.687036{col 71}{space 3} 1.421181
{txt}{space 13}IMF {c |}{col 18}{res}{space 2} .0857831{col 30}{space 2}  .478361{col 41}{space 1}    0.18{col 50}{space 3}0.858{col 58}{space 4}-.8517872{col 71}{space 3} 1.023353
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .2962351{col 30}{space 2} .1629676{col 41}{space 1}    1.82{col 50}{space 3}0.069{col 58}{space 4}-.0231755{col 71}{space 3} .6156457
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.7066845{col 30}{space 2} .2362669{col 41}{space 1}   -2.99{col 50}{space 3}0.003{col 58}{space 4}-1.169759{col 71}{space 3}  -.24361
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}  .975187{col 30}{space 2} .2810278{col 41}{space 1}    3.47{col 50}{space 3}0.001{col 58}{space 4} .4243827{col 71}{space 3} 1.525991
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} .7887799{col 30}{space 2} 5.069981{col 41}{space 1}    0.16{col 50}{space 3}0.876{col 58}{space 4}  -9.1482{col 71}{space 3} 10.72576
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.237709{col 30}{space 2} .2642336{col 41}{space 1}    4.68{col 50}{space 3}0.000{col 58}{space 4} .7198207{col 71}{space 3} 1.755598
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}-.0197603{col 30}{space 2} .0224233{col 41}{space 1}   -0.88{col 50}{space 3}0.378{col 58}{space 4}-.0637092{col 71}{space 3} .0241886
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0136535{col 30}{space 2} .0208174{col 41}{space 1}    0.66{col 50}{space 3}0.512{col 58}{space 4}-.0271479{col 71}{space 3} .0544549
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0264813{col 30}{space 2} .0214882{col 41}{space 1}    1.23{col 50}{space 3}0.218{col 58}{space 4}-.0156348{col 71}{space 3} .0685974
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.1253535{col 30}{space 2} .1684395{col 41}{space 1}   -0.74{col 50}{space 3}0.457{col 58}{space 4}-.4554888{col 71}{space 3} .2047819
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0977453{col 30}{space 2} .0477601{col 41}{space 1}   -2.05{col 50}{space 3}0.041{col 58}{space 4}-.1913533{col 71}{space 3}-.0041373
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} .0958453{col 30}{space 2} .3279482{col 41}{space 1}    0.29{col 50}{space 3}0.770{col 58}{space 4}-.5469213{col 71}{space 3} .7386119
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-5.429244{col 30}{space 2} 1.154461{col 41}{space 1}   -4.70{col 50}{space 3}0.000{col 58}{space 4}-7.691947{col 71}{space 3}-3.166541
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat           {txt}{c |}
SenderP1Ideology {c |}{col 18}{res}{space 2}-.0129495{col 30}{space 2}  .021882{col 41}{space 1}   -0.59{col 50}{space 3}0.554{col 58}{space 4}-.0558375{col 71}{space 3} .0299385
{txt}TargetP1Ideology {c |}{col 18}{res}{space 2} .0147734{col 30}{space 2} .0254749{col 41}{space 1}    0.58{col 50}{space 3}0.562{col 58}{space 4}-.0351565{col 71}{space 3} .0647034
{txt}{space 5}WBScaleGovt {c |}{col 18}{res}{space 2}-.0389525{col 30}{space 2} .0265886{col 41}{space 1}   -1.47{col 50}{space 3}0.143{col 58}{space 4}-.0910651{col 71}{space 3} .0131601
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0357233{col 30}{space 2} .1943475{col 41}{space 1}   -0.18{col 50}{space 3}0.854{col 58}{space 4}-.4166374{col 71}{space 3} .3451908
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}    .0531{col 30}{space 2} .1641948{col 41}{space 1}    0.32{col 50}{space 3}0.746{col 58}{space 4}-.2687158{col 71}{space 3} .3749158
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.1194218{col 30}{space 2} .0674635{col 41}{space 1}   -1.77{col 50}{space 3}0.077{col 58}{space 4}-.2516478{col 71}{space 3} .0128043
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.1637717{col 30}{space 2} .1132148{col 41}{space 1}   -1.45{col 50}{space 3}0.148{col 58}{space 4}-.3856687{col 71}{space 3} .0581252
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}  .818942{col 30}{space 2} .1626735{col 41}{space 1}    5.03{col 50}{space 3}0.000{col 58}{space 4} .5001078{col 71}{space 3} 1.137776
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 10.15703{col 30}{space 2} 2.884255{col 41}{space 1}    3.52{col 50}{space 3}0.000{col 58}{space 4} 4.503995{col 71}{space 3} 15.81007
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 2.038791{col 30}{space 2} .1359124{col 41}{space 1}   15.00{col 50}{space 3}0.000{col 58}{space 4} 1.772407{col 71}{space 3} 2.305174
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0174461{col 30}{space 2} .0072758{col 41}{space 1}    2.40{col 50}{space 3}0.016{col 58}{space 4} .0031857{col 71}{space 3} .0317065
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0185088{col 30}{space 2} .0078839{col 41}{space 1}    2.35{col 50}{space 3}0.019{col 58}{space 4} .0030566{col 71}{space 3} .0339609
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0367108{col 30}{space 2} .0115934{col 41}{space 1}   -3.17{col 50}{space 3}0.002{col 58}{space 4}-.0594335{col 71}{space 3}-.0139881
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}  .400648{col 30}{space 2} .0949972{col 41}{space 1}    4.22{col 50}{space 3}0.000{col 58}{space 4} .2144569{col 71}{space 3} .5868391
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0151949{col 30}{space 2}   .01658{col 41}{space 1}   -0.92{col 50}{space 3}0.359{col 58}{space 4}-.0476911{col 71}{space 3} .0173013
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 1.276584{col 30}{space 2} .1641329{col 41}{space 1}    7.78{col 50}{space 3}0.000{col 58}{space 4} .9548897{col 71}{space 3} 1.598279
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.2799794{col 30}{space 2} .0222678{col 41}{space 1}  -12.57{col 50}{space 3}0.000{col 58}{space 4}-.3236234{col 71}{space 3}-.2363353
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0157569{col 30}{space 2} .0015914{col 41}{space 1}    9.90{col 50}{space 3}0.000{col 58}{space 4} .0126378{col 71}{space 3}  .018876
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0002716{col 30}{space 2} .0000344{col 41}{space 1}   -7.90{col 50}{space 3}0.000{col 58}{space 4} -.000339{col 71}{space 3}-.0002042
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-4.936561{col 30}{space 2} .5733733{col 41}{space 1}   -8.61{col 50}{space 3}0.000{col 58}{space 4}-6.060353{col 71}{space 3} -3.81277
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /athrho {c |}{col 18}{res}{space 2} .3620117{col 30}{space 2} .1557435{col 41}{space 1}    2.32{col 50}{space 3}0.020{col 58}{space 4}   .05676{col 71}{space 3} .6672633
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             rho{col 18}{c |}{res}{space 2} .3469847{col 30}{space 2} .1369922{col 58}{space 4} .0566991{col 71}{space 3} .5831768
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    5.40   {txt}Prob > chi2 = {res}0.0201
{txt}
{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat SenderP1Ideology TargetP1Ideology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3966.6664}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3221.0659}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3124.4115}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3121.6432}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3121.6322}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3121.6322}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   2013.75
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3121.6322{txt}{col 51}Pseudo R2{col 67}= {res}    0.4671

{txt}{ralign 82:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SenderP1Ideology {c |}{col 18}{res}{space 2}-.0630431{col 30}{space 2} .0591001{col 41}{space 1}   -1.07{col 50}{space 3}0.286{col 58}{space 4}-.1788771{col 71}{space 3}  .052791
{txt}TargetP1Ideology {c |}{col 18}{res}{space 2} .0195881{col 30}{space 2} .0728393{col 41}{space 1}    0.27{col 50}{space 3}0.788{col 58}{space 4}-.1231743{col 71}{space 3} .1623505
{txt}{space 5}WBScaleGovt {c |}{col 18}{res}{space 2}-.0844509{col 30}{space 2} .0680475{col 41}{space 1}   -1.24{col 50}{space 3}0.215{col 58}{space 4}-.2178215{col 71}{space 3} .0489198
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.1162445{col 30}{space 2} .4594671{col 41}{space 1}   -0.25{col 50}{space 3}0.800{col 58}{space 4}-1.016783{col 71}{space 3} .7842945
{txt}{space 13}IMF {c |}{col 18}{res}{space 2} .4256583{col 30}{space 2} .4465082{col 41}{space 1}    0.95{col 50}{space 3}0.340{col 58}{space 4}-.4494817{col 71}{space 3} 1.300798
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.4360972{col 30}{space 2}  .171347{col 41}{space 1}   -2.55{col 50}{space 3}0.011{col 58}{space 4}-.7719312{col 71}{space 3}-.1002632
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.3452329{col 30}{space 2} .3196776{col 41}{space 1}   -1.08{col 50}{space 3}0.280{col 58}{space 4}-.9717894{col 71}{space 3} .2813236
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.932411{col 30}{space 2} .4476804{col 41}{space 1}    4.32{col 50}{space 3}0.000{col 58}{space 4} 1.054974{col 71}{space 3} 2.809848
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 23.39706{col 30}{space 2} 6.361829{col 41}{space 1}    3.68{col 50}{space 3}0.000{col 58}{space 4} 10.92811{col 71}{space 3} 35.86602
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 5.086006{col 30}{space 2} .3781822{col 41}{space 1}   13.45{col 50}{space 3}0.000{col 58}{space 4} 4.344783{col 71}{space 3}  5.82723
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0611055{col 30}{space 2} .0222981{col 41}{space 1}    2.74{col 50}{space 3}0.006{col 58}{space 4} .0174021{col 71}{space 3} .1048089
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2}  .066634{col 30}{space 2} .0249501{col 41}{space 1}    2.67{col 50}{space 3}0.008{col 58}{space 4} .0177327{col 71}{space 3} .1155353
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.1159838{col 30}{space 2} .0277548{col 41}{space 1}   -4.18{col 50}{space 3}0.000{col 58}{space 4}-.1703823{col 71}{space 3}-.0615853
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .9584823{col 30}{space 2} .2508185{col 41}{space 1}    3.82{col 50}{space 3}0.000{col 58}{space 4} .4668871{col 71}{space 3} 1.450078
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.062328{col 30}{space 2} .0504867{col 41}{space 1}   -1.23{col 50}{space 3}0.217{col 58}{space 4}  -.16128{col 71}{space 3} .0366241
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 3.191244{col 30}{space 2} .4907887{col 41}{space 1}    6.50{col 50}{space 3}0.000{col 58}{space 4} 2.229316{col 71}{space 3} 4.153172
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.6391772{col 30}{space 2} .0582719{col 41}{space 1}  -10.97{col 50}{space 3}0.000{col 58}{space 4}-.7533879{col 71}{space 3}-.5249664
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0372222{col 30}{space 2} .0041367{col 41}{space 1}    9.00{col 50}{space 3}0.000{col 58}{space 4} .0291144{col 71}{space 3} .0453299
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0006562{col 30}{space 2} .0000891{col 41}{space 1}   -7.37{col 50}{space 3}0.000{col 58}{space 4}-.0008307{col 71}{space 3}-.0004816
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-11.83835{col 30}{space 2} 1.490644{col 41}{space 1}   -7.94{col 50}{space 3}0.000{col 58}{space 4}-14.75996{col 71}{space 3}-8.916743
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition SenderP1Ideology TargetP1Ideology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-484.72777}  
Iteration 1:{space 3}log pseudolikelihood = {res:-429.87577}  
Iteration 2:{space 3}log pseudolikelihood = {res:-427.05053}  
Iteration 3:{space 3}log pseudolikelihood = {res:-426.99808}  
Iteration 4:{space 3}log pseudolikelihood = {res:-426.99801}  
Iteration 5:{space 3}log pseudolikelihood = {res:-426.99801}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       801
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     80.32
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-426.99801{txt}{col 51}Pseudo R2{col 67}= {res}    0.1191

{txt}{ralign 82:(Std. Err. adjusted for {res:211} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SenderP1Ideology {c |}{col 18}{res}{space 2} .2010986{col 30}{space 2} .1155606{col 41}{space 1}    1.74{col 50}{space 3}0.082{col 58}{space 4} -.025396{col 71}{space 3} .4275933
{txt}TargetP1Ideology {c |}{col 18}{res}{space 2} .2791279{col 30}{space 2} .1301766{col 41}{space 1}    2.14{col 50}{space 3}0.032{col 58}{space 4} .0239864{col 71}{space 3} .5342694
{txt}{space 5}WBScaleGovt {c |}{col 18}{res}{space 2}-.0969466{col 30}{space 2} .1019201{col 41}{space 1}   -0.95{col 50}{space 3}0.342{col 58}{space 4}-.2967062{col 71}{space 3}  .102813
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .7276365{col 30}{space 2} .9917399{col 41}{space 1}    0.73{col 50}{space 3}0.463{col 58}{space 4}-1.216138{col 71}{space 3} 2.671411
{txt}{space 13}IMF {c |}{col 18}{res}{space 2} .0882144{col 30}{space 2} .8403754{col 41}{space 1}    0.10{col 50}{space 3}0.916{col 58}{space 4}-1.558891{col 71}{space 3}  1.73532
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5742163{col 30}{space 2} .2903267{col 41}{space 1}    1.98{col 50}{space 3}0.048{col 58}{space 4} .0051865{col 71}{space 3} 1.143246
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.198797{col 30}{space 2} .4235465{col 41}{space 1}   -2.83{col 50}{space 3}0.005{col 58}{space 4}-2.028933{col 71}{space 3}-.3686615
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.352987{col 30}{space 2} .5025814{col 41}{space 1}    2.69{col 50}{space 3}0.007{col 58}{space 4} .3679459{col 71}{space 3} 2.338029
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-2.925284{col 30}{space 2} 8.057373{col 41}{space 1}   -0.36{col 50}{space 3}0.717{col 58}{space 4}-18.71745{col 71}{space 3} 12.86688
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.003273{col 30}{space 2} .4251937{col 41}{space 1}    2.36{col 50}{space 3}0.018{col 58}{space 4} .1699088{col 71}{space 3} 1.836638
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}-.0428082{col 30}{space 2} .0389983{col 41}{space 1}   -1.10{col 50}{space 3}0.272{col 58}{space 4}-.1192436{col 71}{space 3} .0336271
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0193805{col 30}{space 2} .0389612{col 41}{space 1}    0.50{col 50}{space 3}0.619{col 58}{space 4}-.0569821{col 71}{space 3} .0957431
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0689359{col 30}{space 2} .0437027{col 41}{space 1}    1.58{col 50}{space 3}0.115{col 58}{space 4}-.0167199{col 71}{space 3} .1545916
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.3505203{col 30}{space 2} .2942975{col 41}{space 1}   -1.19{col 50}{space 3}0.234{col 58}{space 4}-.9273329{col 71}{space 3} .2262922
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.1568671{col 30}{space 2} .0884312{col 41}{space 1}   -1.77{col 50}{space 3}0.076{col 58}{space 4}-.3301891{col 71}{space 3} .0164549
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.5518595{col 30}{space 2} .5361044{col 41}{space 1}   -1.03{col 50}{space 3}0.303{col 58}{space 4}-1.602605{col 71}{space 3} .4988859
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} -6.21953{col 30}{space 2} 1.903484{col 41}{space 1}   -3.27{col 50}{space 3}0.001{col 58}{space 4}-9.950291{col 71}{space 3}-2.488769
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat SenderP1Ideology TargetP1Ideology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3966.6664}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3221.0659}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3124.4115}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3121.6432}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3121.6322}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3121.6322}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   2013.75
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3121.6322{txt}{col 51}Pseudo R2{col 67}= {res}    0.4671

{txt}{ralign 82:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SenderP1Ideology {c |}{col 18}{res}{space 2}-.0630431{col 30}{space 2} .0591001{col 41}{space 1}   -1.07{col 50}{space 3}0.286{col 58}{space 4}-.1788771{col 71}{space 3}  .052791
{txt}TargetP1Ideology {c |}{col 18}{res}{space 2} .0195881{col 30}{space 2} .0728393{col 41}{space 1}    0.27{col 50}{space 3}0.788{col 58}{space 4}-.1231743{col 71}{space 3} .1623505
{txt}{space 5}WBScaleGovt {c |}{col 18}{res}{space 2}-.0844509{col 30}{space 2} .0680475{col 41}{space 1}   -1.24{col 50}{space 3}0.215{col 58}{space 4}-.2178215{col 71}{space 3} .0489198
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.1162445{col 30}{space 2} .4594671{col 41}{space 1}   -0.25{col 50}{space 3}0.800{col 58}{space 4}-1.016783{col 71}{space 3} .7842945
{txt}{space 13}IMF {c |}{col 18}{res}{space 2} .4256583{col 30}{space 2} .4465082{col 41}{space 1}    0.95{col 50}{space 3}0.340{col 58}{space 4}-.4494817{col 71}{space 3} 1.300798
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.4360972{col 30}{space 2}  .171347{col 41}{space 1}   -2.55{col 50}{space 3}0.011{col 58}{space 4}-.7719312{col 71}{space 3}-.1002632
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.3452329{col 30}{space 2} .3196776{col 41}{space 1}   -1.08{col 50}{space 3}0.280{col 58}{space 4}-.9717894{col 71}{space 3} .2813236
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.932411{col 30}{space 2} .4476804{col 41}{space 1}    4.32{col 50}{space 3}0.000{col 58}{space 4} 1.054974{col 71}{space 3} 2.809848
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 23.39706{col 30}{space 2} 6.361829{col 41}{space 1}    3.68{col 50}{space 3}0.000{col 58}{space 4} 10.92811{col 71}{space 3} 35.86602
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 5.086006{col 30}{space 2} .3781822{col 41}{space 1}   13.45{col 50}{space 3}0.000{col 58}{space 4} 4.344783{col 71}{space 3}  5.82723
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0611055{col 30}{space 2} .0222981{col 41}{space 1}    2.74{col 50}{space 3}0.006{col 58}{space 4} .0174021{col 71}{space 3} .1048089
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2}  .066634{col 30}{space 2} .0249501{col 41}{space 1}    2.67{col 50}{space 3}0.008{col 58}{space 4} .0177327{col 71}{space 3} .1155353
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.1159838{col 30}{space 2} .0277548{col 41}{space 1}   -4.18{col 50}{space 3}0.000{col 58}{space 4}-.1703823{col 71}{space 3}-.0615853
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .9584823{col 30}{space 2} .2508185{col 41}{space 1}    3.82{col 50}{space 3}0.000{col 58}{space 4} .4668871{col 71}{space 3} 1.450078
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.062328{col 30}{space 2} .0504867{col 41}{space 1}   -1.23{col 50}{space 3}0.217{col 58}{space 4}  -.16128{col 71}{space 3} .0366241
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 3.191244{col 30}{space 2} .4907887{col 41}{space 1}    6.50{col 50}{space 3}0.000{col 58}{space 4} 2.229316{col 71}{space 3} 4.153172
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.6391772{col 30}{space 2} .0582719{col 41}{space 1}  -10.97{col 50}{space 3}0.000{col 58}{space 4}-.7533879{col 71}{space 3}-.5249664
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0372222{col 30}{space 2} .0041367{col 41}{space 1}    9.00{col 50}{space 3}0.000{col 58}{space 4} .0291144{col 71}{space 3} .0453299
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0006562{col 30}{space 2} .0000891{col 41}{space 1}   -7.37{col 50}{space 3}0.000{col 58}{space 4}-.0008307{col 71}{space 3}-.0004816
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-11.83835{col 30}{space 2} 1.490644{col 41}{space 1}   -7.94{col 50}{space 3}0.000{col 58}{space 4}-14.75996{col 71}{space 3}-8.916743
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp SenderP1Ideology TargetP1Ideology WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-245.64246}  
Iteration 1:{space 3}log pseudolikelihood = {res:-161.66367}  
Iteration 2:{space 3}log pseudolikelihood = {res:-144.81687}  
Iteration 3:{space 3}log pseudolikelihood = {res:-141.97202}  
Iteration 4:{space 3}log pseudolikelihood = {res:-141.46468}  
Iteration 5:{space 3}log pseudolikelihood = {res:-141.43493}  
Iteration 6:{space 3}log pseudolikelihood = {res:-141.43484}  
Iteration 7:{space 3}log pseudolikelihood = {res:-141.43484}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       492
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     63.37
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-141.43484{txt}{col 51}Pseudo R2{col 67}= {res}    0.4242

{txt}{ralign 92:(Std. Err. adjusted for {res:155} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SenderP1Ideology {c |}{col 28}{res}{space 2}-.4306827{col 40}{space 2} .2038626{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4} -.830246{col 81}{space 3}-.0311193
{txt}{space 10}TargetP1Ideology {c |}{col 28}{res}{space 2}-.0159437{col 40}{space 2}  .224498{col 51}{space 1}   -0.07{col 60}{space 3}0.943{col 68}{space 4}-.4559517{col 81}{space 3} .4240642
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .1824514{col 40}{space 2}  .220764{col 51}{space 1}    0.83{col 60}{space 3}0.409{col 68}{space 4}-.2502381{col 81}{space 3} .6151409
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 3.092306{col 40}{space 2} 1.344758{col 51}{space 1}    2.30{col 60}{space 3}0.021{col 68}{space 4} .4566289{col 81}{space 3} 5.727982
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1742654{col 40}{space 2} .7440897{col 51}{space 1}   -0.23{col 60}{space 3}0.815{col 68}{space 4}-1.632654{col 81}{space 3} 1.284124
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.293473{col 40}{space 2} .9943356{col 51}{space 1}   -1.30{col 60}{space 3}0.193{col 68}{space 4}-3.242335{col 81}{space 3} .6553894
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.754471{col 40}{space 2} .8313213{col 51}{space 1}   -3.31{col 60}{space 3}0.001{col 68}{space 4} -4.38383{col 81}{space 3}-1.125111
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -1.60648{col 40}{space 2} 1.192599{col 51}{space 1}   -1.35{col 60}{space 3}0.178{col 68}{space 4}-3.943931{col 81}{space 3} .7309718
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.179072{col 40}{space 2} .9161121{col 51}{space 1}    1.29{col 60}{space 3}0.198{col 68}{space 4}-.6164745{col 81}{space 3} 2.974619
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0152311{col 40}{space 2} .0867075{col 51}{space 1}   -0.18{col 60}{space 3}0.861{col 68}{space 4}-.1851747{col 81}{space 3} .1547124
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0224627{col 40}{space 2} .1267802{col 51}{space 1}    0.18{col 60}{space 3}0.859{col 68}{space 4} -.226022{col 81}{space 3} .2709474
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-2.389036{col 40}{space 2} 1.364971{col 51}{space 1}   -1.75{col 60}{space 3}0.080{col 68}{space 4}-5.064331{col 81}{space 3} .2862589
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-1.241125{col 40}{space 2} 1.082678{col 51}{space 1}   -1.15{col 60}{space 3}0.252{col 68}{space 4}-3.363135{col 81}{space 3}  .880886
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.479143{col 40}{space 2}  1.17516{col 51}{space 1}    2.11{col 60}{space 3}0.035{col 68}{space 4} .1758713{col 81}{space 3} 4.782415
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.897981{col 40}{space 2} .7763415{col 51}{space 1}    2.44{col 60}{space 3}0.014{col 68}{space 4} .3763793{col 81}{space 3} 3.419582
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-336.6317{col 40}{space 2} 473.7791{col 51}{space 1}   -0.71{col 60}{space 3}0.477{col 68}{space 4}-1265.222{col 81}{space 3} 591.9583
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.0482977{col 40}{space 2} 1.044091{col 51}{space 1}   -0.05{col 60}{space 3}0.963{col 68}{space 4}-2.094679{col 81}{space 3} 1.998084
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1812771{col 40}{space 2} .1651965{col 51}{space 1}    1.10{col 60}{space 3}0.272{col 68}{space 4}-.1425022{col 81}{space 3} .5050564
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1130146{col 40}{space 2} .0948546{col 51}{space 1}   -1.19{col 60}{space 3}0.233{col 68}{space 4}-.2989262{col 81}{space 3}  .072897
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0601528{col 40}{space 2} .0843515{col 51}{space 1}   -0.71{col 60}{space 3}0.476{col 68}{space 4}-.2254788{col 81}{space 3} .1051732
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .3350982{col 40}{space 2} .7427465{col 51}{space 1}    0.45{col 60}{space 3}0.652{col 68}{space 4}-1.120658{col 81}{space 3} 1.790855
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1316224{col 40}{space 2} .1795973{col 51}{space 1}    0.73{col 60}{space 3}0.464{col 68}{space 4}-.2203818{col 81}{space 3} .4836267
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.6387744{col 40}{space 2} .6745112{col 51}{space 1}   -0.95{col 60}{space 3}0.344{col 68}{space 4}-1.960792{col 81}{space 3} .6832432
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-7.331773{col 40}{space 2} 2.716139{col 51}{space 1}   -2.70{col 60}{space 3}0.007{col 68}{space 4}-12.65531{col 81}{space 3}-2.008238
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat SenderP1Ideology TargetP1Ideology WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3966.6664}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3221.0659}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3124.4115}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3121.6432}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3121.6322}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3121.6322}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   2013.75
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3121.6322{txt}{col 51}Pseudo R2{col 67}= {res}    0.4671

{txt}{ralign 82:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
SenderP1Ideology {c |}{col 18}{res}{space 2}-.0630431{col 30}{space 2} .0591001{col 41}{space 1}   -1.07{col 50}{space 3}0.286{col 58}{space 4}-.1788771{col 71}{space 3}  .052791
{txt}TargetP1Ideology {c |}{col 18}{res}{space 2} .0195881{col 30}{space 2} .0728393{col 41}{space 1}    0.27{col 50}{space 3}0.788{col 58}{space 4}-.1231743{col 71}{space 3} .1623505
{txt}{space 5}WBScaleGovt {c |}{col 18}{res}{space 2}-.0844509{col 30}{space 2} .0680475{col 41}{space 1}   -1.24{col 50}{space 3}0.215{col 58}{space 4}-.2178215{col 71}{space 3} .0489198
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.1162445{col 30}{space 2} .4594671{col 41}{space 1}   -0.25{col 50}{space 3}0.800{col 58}{space 4}-1.016783{col 71}{space 3} .7842945
{txt}{space 13}IMF {c |}{col 18}{res}{space 2} .4256583{col 30}{space 2} .4465082{col 41}{space 1}    0.95{col 50}{space 3}0.340{col 58}{space 4}-.4494817{col 71}{space 3} 1.300798
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.4360972{col 30}{space 2}  .171347{col 41}{space 1}   -2.55{col 50}{space 3}0.011{col 58}{space 4}-.7719312{col 71}{space 3}-.1002632
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.3452329{col 30}{space 2} .3196776{col 41}{space 1}   -1.08{col 50}{space 3}0.280{col 58}{space 4}-.9717894{col 71}{space 3} .2813236
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.932411{col 30}{space 2} .4476804{col 41}{space 1}    4.32{col 50}{space 3}0.000{col 58}{space 4} 1.054974{col 71}{space 3} 2.809848
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 23.39706{col 30}{space 2} 6.361829{col 41}{space 1}    3.68{col 50}{space 3}0.000{col 58}{space 4} 10.92811{col 71}{space 3} 35.86602
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 5.086006{col 30}{space 2} .3781822{col 41}{space 1}   13.45{col 50}{space 3}0.000{col 58}{space 4} 4.344783{col 71}{space 3}  5.82723
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0611055{col 30}{space 2} .0222981{col 41}{space 1}    2.74{col 50}{space 3}0.006{col 58}{space 4} .0174021{col 71}{space 3} .1048089
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2}  .066634{col 30}{space 2} .0249501{col 41}{space 1}    2.67{col 50}{space 3}0.008{col 58}{space 4} .0177327{col 71}{space 3} .1155353
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.1159838{col 30}{space 2} .0277548{col 41}{space 1}   -4.18{col 50}{space 3}0.000{col 58}{space 4}-.1703823{col 71}{space 3}-.0615853
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .9584823{col 30}{space 2} .2508185{col 41}{space 1}    3.82{col 50}{space 3}0.000{col 58}{space 4} .4668871{col 71}{space 3} 1.450078
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.062328{col 30}{space 2} .0504867{col 41}{space 1}   -1.23{col 50}{space 3}0.217{col 58}{space 4}  -.16128{col 71}{space 3} .0366241
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 3.191244{col 30}{space 2} .4907887{col 41}{space 1}    6.50{col 50}{space 3}0.000{col 58}{space 4} 2.229316{col 71}{space 3} 4.153172
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.6391772{col 30}{space 2} .0582719{col 41}{space 1}  -10.97{col 50}{space 3}0.000{col 58}{space 4}-.7533879{col 71}{space 3}-.5249664
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0372222{col 30}{space 2} .0041367{col 41}{space 1}    9.00{col 50}{space 3}0.000{col 58}{space 4} .0291144{col 71}{space 3} .0453299
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0006562{col 30}{space 2} .0000891{col 41}{space 1}   -7.37{col 50}{space 3}0.000{col 58}{space 4}-.0008307{col 71}{space 3}-.0004816
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-11.83835{col 30}{space 2} 1.490644{col 41}{space 1}   -7.94{col 50}{space 3}0.000{col 58}{space 4}-14.75996{col 71}{space 3}-8.916743
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp SenderP1Ideology TargetP1Ideology WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-274.44991}  
Iteration 1:{space 3}log pseudolikelihood = {res:-202.66505}  
Iteration 2:{space 3}log pseudolikelihood = {res:-195.25548}  
Iteration 3:{space 3}log pseudolikelihood = {res:-195.08476}  
Iteration 4:{space 3}log pseudolikelihood = {res:-195.08462}  
Iteration 5:{space 3}log pseudolikelihood = {res:-195.08462}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       492
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     64.83
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-195.08462{txt}{col 51}Pseudo R2{col 67}= {res}    0.2892

{txt}{ralign 92:(Std. Err. adjusted for {res:155} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SenderP1Ideology {c |}{col 28}{res}{space 2} .0635665{col 40}{space 2} .2306295{col 51}{space 1}    0.28{col 60}{space 3}0.783{col 68}{space 4} -.388459{col 81}{space 3}  .515592
{txt}{space 10}TargetP1Ideology {c |}{col 28}{res}{space 2}-.4002114{col 40}{space 2} .2017337{col 51}{space 1}   -1.98{col 60}{space 3}0.047{col 68}{space 4}-.7956022{col 81}{space 3}-.0048206
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2}-.0097773{col 40}{space 2} .2468386{col 51}{space 1}   -0.04{col 60}{space 3}0.968{col 68}{space 4} -.493572{col 81}{space 3} .4740173
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-.8720012{col 40}{space 2} 1.279734{col 51}{space 1}   -0.68{col 60}{space 3}0.496{col 68}{space 4}-3.380234{col 81}{space 3} 1.636232
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.4484537{col 40}{space 2} .6689503{col 51}{space 1}   -0.67{col 60}{space 3}0.503{col 68}{space 4}-1.759572{col 81}{space 3} .8626648
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.101239{col 40}{space 2} .9150354{col 51}{space 1}    2.30{col 60}{space 3}0.022{col 68}{space 4} .3078029{col 81}{space 3} 3.894676
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .5373895{col 40}{space 2} .7328229{col 51}{space 1}    0.73{col 60}{space 3}0.463{col 68}{space 4}-.8989169{col 81}{space 3} 1.973696
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.207683{col 40}{space 2} 1.207002{col 51}{space 1}    2.66{col 60}{space 3}0.008{col 68}{space 4} .8420029{col 81}{space 3} 5.573363
{txt}{space 24}5  {c |}{col 28}{res}{space 2} .0689768{col 40}{space 2} 1.078873{col 51}{space 1}    0.06{col 60}{space 3}0.949{col 68}{space 4}-2.045576{col 81}{space 3}  2.18353
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0797725{col 40}{space 2} .0949827{col 51}{space 1}   -0.84{col 60}{space 3}0.401{col 68}{space 4}-.2659352{col 81}{space 3} .1063901
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.1151271{col 40}{space 2} .1248203{col 51}{space 1}   -0.92{col 60}{space 3}0.356{col 68}{space 4}-.3597703{col 81}{space 3} .1295162
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.6400515{col 40}{space 2} 1.042216{col 51}{space 1}   -0.61{col 60}{space 3}0.539{col 68}{space 4}-2.682757{col 81}{space 3} 1.402654
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .1236863{col 40}{space 2}  .653369{col 51}{space 1}    0.19{col 60}{space 3}0.850{col 68}{space 4}-1.156893{col 81}{space 3} 1.404266
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.237831{col 40}{space 2} .8876055{col 51}{space 1}    1.39{col 60}{space 3}0.163{col 68}{space 4}-.5018443{col 81}{space 3} 2.977505
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5222715{col 40}{space 2} .7039308{col 51}{space 1}   -0.74{col 60}{space 3}0.458{col 68}{space 4}-1.901951{col 81}{space 3} .8574076
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-32.27684{col 40}{space 2} 29.53755{col 51}{space 1}   -1.09{col 60}{space 3}0.275{col 68}{space 4}-90.16936{col 81}{space 3} 25.61569
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.175031{col 40}{space 2} .5591305{col 51}{space 1}   -3.89{col 60}{space 3}0.000{col 68}{space 4}-3.270907{col 81}{space 3}-1.079156
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0868839{col 40}{space 2} .0639248{col 51}{space 1}   -1.36{col 60}{space 3}0.174{col 68}{space 4}-.2121742{col 81}{space 3} .0384064
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0367414{col 40}{space 2} .0699333{col 51}{space 1}    0.53{col 60}{space 3}0.599{col 68}{space 4}-.1003253{col 81}{space 3} .1738081
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.116037{col 40}{space 2}  .069152{col 51}{space 1}   -1.68{col 60}{space 3}0.093{col 68}{space 4}-.2515725{col 81}{space 3} .0194985
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.3943221{col 40}{space 2} .4627659{col 51}{space 1}   -0.85{col 60}{space 3}0.394{col 68}{space 4}-1.301327{col 81}{space 3} .5126823
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2498537{col 40}{space 2} .1393974{col 51}{space 1}    1.79{col 60}{space 3}0.073{col 68}{space 4}-.0233602{col 81}{space 3} .5230676
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.3282631{col 40}{space 2} .6709153{col 51}{space 1}   -0.49{col 60}{space 3}0.625{col 68}{space 4}-1.643233{col 81}{space 3} .9867068
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 3.489332{col 40}{space 2} 2.278558{col 51}{space 1}    1.53{col 60}{space 3}0.126{col 68}{space 4}  -.97656{col 81}{space 3} 7.955225
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table9 , word label title(Table 9: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table9.rtf"'"':Table9.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table9.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 10****
. *Models 1 and 2*
. heckprob imposition AveRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=AveRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-470.56976}  
Iteration 2:{space 3}log pseudolikelihood = {res:-470.27725}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.27722}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4635.4997}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3567.6086}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3546.0978}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3545.9174}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3545.9173}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-568.38069}  
Iteration 1:{space 3}log pseudolikelihood = {res:-466.63728}  
Iteration 2:{space 3}log pseudolikelihood = {res:-466.09517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-466.09443}  
Iteration 4:{space 3}log pseudolikelihood = {res:-466.09443}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4012.7879}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4012.0554}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4012.0448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4012.0448}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   429382
{txt}                                                Censored obs       = {res}   428562
                                                {txt}Uncensored obs     = {res}      820

                                                {txt}Wald chi2({res}14{txt})      = {res}   101.50
{txt}Log pseudolikelihood = {res}-4012.045                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
AveRestrictions {c |}{col 17}{res}{space 2} .0092962{col 29}{space 2} .0053866{col 40}{space 1}    1.73{col 49}{space 3}0.084{col 57}{space 4}-.0012613{col 70}{space 3} .0198536
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2793923{col 29}{space 2}  .477958{col 40}{space 1}    0.58{col 49}{space 3}0.559{col 57}{space 4}-.6573881{col 70}{space 3} 1.216173
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.6544173{col 29}{space 2} .5309563{col 40}{space 1}   -1.23{col 49}{space 3}0.218{col 57}{space 4}-1.695073{col 70}{space 3} .3862381
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .1836519{col 29}{space 2}  .139169{col 40}{space 1}    1.32{col 49}{space 3}0.187{col 57}{space 4}-.0891143{col 70}{space 3} .4564181
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7549348{col 29}{space 2}  .193507{col 40}{space 1}   -3.90{col 49}{space 3}0.000{col 57}{space 4}-1.134202{col 70}{space 3} -.375668
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6538494{col 29}{space 2} .2702365{col 40}{space 1}    2.42{col 49}{space 3}0.016{col 57}{space 4} .1241955{col 70}{space 3} 1.183503
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} .9484859{col 29}{space 2} 5.042373{col 40}{space 1}    0.19{col 49}{space 3}0.851{col 57}{space 4}-8.934384{col 70}{space 3} 10.83136
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.233066{col 29}{space 2} .2641357{col 40}{space 1}    4.67{col 49}{space 3}0.000{col 57}{space 4}   .71537{col 70}{space 3} 1.750763
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0021675{col 29}{space 2} .0169097{col 40}{space 1}   -0.13{col 49}{space 3}0.898{col 57}{space 4}-.0353098{col 70}{space 3} .0309748
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0298339{col 29}{space 2} .0159571{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0014415{col 70}{space 3} .0611092
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0192919{col 29}{space 2} .0199086{col 40}{space 1}    0.97{col 49}{space 3}0.333{col 57}{space 4}-.0197282{col 70}{space 3}  .058312
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0106373{col 29}{space 2} .1667611{col 40}{space 1}    0.06{col 49}{space 3}0.949{col 57}{space 4}-.3162085{col 70}{space 3} .3374831
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0897084{col 29}{space 2} .0394055{col 40}{space 1}   -2.28{col 49}{space 3}0.023{col 57}{space 4}-.1669418{col 70}{space 3} -.012475
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .2859074{col 29}{space 2} .2699571{col 40}{space 1}    1.06{col 49}{space 3}0.290{col 57}{space 4}-.2431987{col 70}{space 3} .8150136
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.074353{col 29}{space 2} 1.100541{col 40}{space 1}   -3.70{col 49}{space 3}0.000{col 57}{space 4}-6.231373{col 70}{space 3}-1.917333
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
AveRestrictions {c |}{col 17}{res}{space 2} .0092719{col 29}{space 2} .0019486{col 40}{space 1}    4.76{col 49}{space 3}0.000{col 57}{space 4} .0054527{col 70}{space 3} .0130911
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1290252{col 29}{space 2} .1625446{col 40}{space 1}    0.79{col 49}{space 3}0.427{col 57}{space 4}-.1895564{col 70}{space 3} .4476069
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0259576{col 29}{space 2} .1988542{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.3637894{col 70}{space 3} .4157046
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0719454{col 29}{space 2} .0661418{col 40}{space 1}   -1.09{col 49}{space 3}0.277{col 57}{space 4}-.2015809{col 70}{space 3} .0576901
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2565077{col 29}{space 2} .1329989{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-.5171807{col 70}{space 3} .0041654
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .9071285{col 29}{space 2} .1350425{col 40}{space 1}    6.72{col 49}{space 3}0.000{col 57}{space 4}   .64245{col 70}{space 3} 1.171807
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 8.280665{col 29}{space 2} 2.702098{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4} 2.984649{col 70}{space 3} 13.57668
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.794638{col 29}{space 2} .1391869{col 40}{space 1}   12.89{col 49}{space 3}0.000{col 57}{space 4} 1.521836{col 70}{space 3} 2.067439
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0003567{col 29}{space 2} .0060191{col 40}{space 1}    0.06{col 49}{space 3}0.953{col 57}{space 4}-.0114405{col 70}{space 3} .0121539
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0039084{col 29}{space 2} .0060996{col 40}{space 1}    0.64{col 49}{space 3}0.522{col 57}{space 4}-.0080466{col 70}{space 3} .0158634
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0063585{col 29}{space 2} .0104034{col 40}{space 1}   -0.61{col 49}{space 3}0.541{col 57}{space 4}-.0267489{col 70}{space 3} .0140319
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2303247{col 29}{space 2} .0845332{col 40}{space 1}    2.72{col 49}{space 3}0.006{col 57}{space 4} .0646425{col 70}{space 3} .3960068
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0106446{col 29}{space 2} .0182121{col 40}{space 1}   -0.58{col 49}{space 3}0.559{col 57}{space 4}-.0463397{col 70}{space 3} .0250505
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.148045{col 29}{space 2} .1718438{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4} .8112373{col 70}{space 3} 1.484853
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2484398{col 29}{space 2} .0207812{col 40}{space 1}  -11.96{col 49}{space 3}0.000{col 57}{space 4}-.2891703{col 70}{space 3}-.2077093
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0153408{col 29}{space 2} .0015928{col 40}{space 1}    9.63{col 49}{space 3}0.000{col 57}{space 4} .0122189{col 70}{space 3} .0184627
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002849{col 29}{space 2} .0000348{col 40}{space 1}   -8.19{col 49}{space 3}0.000{col 57}{space 4} -.000353{col 70}{space 3}-.0002167
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.795268{col 29}{space 2} .5022647{col 40}{space 1}  -11.54{col 49}{space 3}0.000{col 57}{space 4}-6.779689{col 70}{space 3}-4.810847
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4350641{col 29}{space 2} .1653344{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .1110146{col 70}{space 3} .7591137
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4095448{col 29}{space 2} .1376034{col 57}{space 4} .1105607{col 70}{space 3} .6405546
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    6.92   {txt}Prob > chi2 = {res}0.0085
{txt}
{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat AveRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AveRestrictions {c |}{col 17}{res}{space 2} .0208596{col 29}{space 2}  .006593{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0079376{col 70}{space 3} .0337816
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition AveRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AveRestrictions {c |}{col 17}{res}{space 2} .0141877{col 29}{space 2} .0100429{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4}-.0054959{col 70}{space 3} .0338714
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat AveRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AveRestrictions {c |}{col 17}{res}{space 2} .0208596{col 29}{space 2}  .006593{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0079376{col 70}{space 3} .0337816
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp AveRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -221.0399}  
Iteration 1:{space 3}log pseudolikelihood = {res:-155.76807}  
Iteration 2:{space 3}log pseudolikelihood = {res:-140.47987}  
Iteration 3:{space 3}log pseudolikelihood = {res:-134.04262}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.70691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.69987}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.69986}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     54.62
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-133.69986{txt}{col 51}Pseudo R2{col 67}= {res}    0.3951

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AveRestrictions {c |}{col 28}{res}{space 2}-.0487119{col 40}{space 2} .0231104{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4}-.0940075{col 81}{space 3}-.0034164
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .9726069{col 40}{space 2} 1.278507{col 51}{space 1}    0.76{col 60}{space 3}0.447{col 68}{space 4}-1.533222{col 81}{space 3} 3.478435
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1150306{col 40}{space 2}    .7546{col 51}{space 1}   -0.15{col 60}{space 3}0.879{col 68}{space 4}-1.594019{col 81}{space 3} 1.363958
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.071879{col 40}{space 2} .9337821{col 51}{space 1}   -1.15{col 60}{space 3}0.251{col 68}{space 4}-2.902058{col 81}{space 3} .7583006
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.661684{col 40}{space 2} .7639335{col 51}{space 1}   -3.48{col 60}{space 3}0.000{col 68}{space 4}-4.158966{col 81}{space 3}-1.164402
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.295596{col 40}{space 2}  1.38054{col 51}{space 1}   -0.94{col 60}{space 3}0.348{col 68}{space 4}-4.001405{col 81}{space 3} 1.410214
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.774307{col 40}{space 2}  .984332{col 51}{space 1}    1.80{col 60}{space 3}0.071{col 68}{space 4}-.1549484{col 81}{space 3} 3.703562
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0305183{col 40}{space 2}  .099364{col 51}{space 1}    0.31{col 60}{space 3}0.759{col 68}{space 4}-.1642316{col 81}{space 3} .2252682
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1063879{col 40}{space 2} .1313673{col 51}{space 1}    0.81{col 60}{space 3}0.418{col 68}{space 4}-.1510873{col 81}{space 3} .3638631
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-1.906855{col 40}{space 2} 1.232396{col 51}{space 1}   -1.55{col 60}{space 3}0.122{col 68}{space 4}-4.322308{col 81}{space 3}  .508597
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.6474339{col 40}{space 2} .9993068{col 51}{space 1}   -0.65{col 60}{space 3}0.517{col 68}{space 4}-2.606039{col 81}{space 3} 1.311172
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.220087{col 40}{space 2} 1.106027{col 51}{space 1}    2.01{col 60}{space 3}0.045{col 68}{space 4} .0523139{col 81}{space 3} 4.387861
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.870624{col 40}{space 2} 1.220326{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4}-.5211715{col 81}{space 3}  4.26242
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-155.5878{col 40}{space 2} 209.3727{col 51}{space 1}   -0.74{col 60}{space 3}0.457{col 68}{space 4}-565.9507{col 81}{space 3} 254.7752
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.1236693{col 40}{space 2} .8928611{col 51}{space 1}   -0.14{col 60}{space 3}0.890{col 68}{space 4}-1.873645{col 81}{space 3} 1.626306
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .2242012{col 40}{space 2} .2036803{col 51}{space 1}    1.10{col 60}{space 3}0.271{col 68}{space 4}-.1750048{col 81}{space 3} .6234073
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0490054{col 40}{space 2}  .084474{col 51}{space 1}   -0.58{col 60}{space 3}0.562{col 68}{space 4}-.2145715{col 81}{space 3} .1165607
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0936938{col 40}{space 2} .0780007{col 51}{space 1}   -1.20{col 60}{space 3}0.230{col 68}{space 4}-.2465723{col 81}{space 3} .0591847
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.1854241{col 40}{space 2} .8049145{col 51}{space 1}   -0.23{col 60}{space 3}0.818{col 68}{space 4}-1.763028{col 81}{space 3} 1.392179
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1673706{col 40}{space 2}  .133457{col 51}{space 1}    1.25{col 60}{space 3}0.210{col 68}{space 4}-.0942003{col 81}{space 3} .4289415
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .0858478{col 40}{space 2} .5968286{col 51}{space 1}    0.14{col 60}{space 3}0.886{col 68}{space 4}-1.083915{col 81}{space 3}  1.25561
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-6.783414{col 40}{space 2} 3.610459{col 51}{space 1}   -1.88{col 60}{space 3}0.060{col 68}{space 4}-13.85978{col 81}{space 3} .2929556
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat AveRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AveRestrictions {c |}{col 17}{res}{space 2} .0208596{col 29}{space 2}  .006593{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0079376{col 70}{space 3} .0337816
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp AveRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -302.9375}  
Iteration 1:{space 3}log pseudolikelihood = {res:-223.17753}  
Iteration 2:{space 3}log pseudolikelihood = {res:-217.56094}  
Iteration 3:{space 3}log pseudolikelihood = {res: -217.4297}  
Iteration 4:{space 3}log pseudolikelihood = {res:-217.42956}  
Iteration 5:{space 3}log pseudolikelihood = {res:-217.42956}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     72.28
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-217.42956{txt}{col 51}Pseudo R2{col 67}= {res}    0.2823

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AveRestrictions {c |}{col 28}{res}{space 2} .0153371{col 40}{space 2} .0223097{col 51}{space 1}    0.69{col 60}{space 3}0.492{col 68}{space 4}-.0283891{col 81}{space 3} .0590633
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.019976{col 40}{space 2} 1.564452{col 51}{space 1}   -0.65{col 60}{space 3}0.514{col 68}{space 4}-4.086245{col 81}{space 3} 2.046294
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.362253{col 40}{space 2} .6393872{col 51}{space 1}   -0.57{col 60}{space 3}0.571{col 68}{space 4}-1.615429{col 81}{space 3}  .890923
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.122453{col 40}{space 2} .8463887{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .4635612{col 81}{space 3} 3.781344
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .5989809{col 40}{space 2} .7366965{col 51}{space 1}    0.81{col 60}{space 3}0.416{col 68}{space 4}-.8449178{col 81}{space 3}  2.04288
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  2.85274{col 40}{space 2} 1.155727{col 51}{space 1}    2.47{col 60}{space 3}0.014{col 68}{space 4}  .587556{col 81}{space 3} 5.117924
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.0914608{col 40}{space 2} .9782506{col 51}{space 1}   -0.09{col 60}{space 3}0.926{col 68}{space 4}-2.008797{col 81}{space 3} 1.825875
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.1403932{col 40}{space 2} .0922028{col 51}{space 1}   -1.52{col 60}{space 3}0.128{col 68}{space 4}-.3211074{col 81}{space 3}  .040321
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0603187{col 40}{space 2} .0879655{col 51}{space 1}   -0.69{col 60}{space 3}0.493{col 68}{space 4}-.2327279{col 81}{space 3} .1120905
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} 1.208251{col 40}{space 2} 1.037534{col 51}{space 1}    1.16{col 60}{space 3}0.244{col 68}{space 4}-.8252786{col 81}{space 3} 3.241781
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.1364451{col 40}{space 2} .5734863{col 51}{space 1}   -0.24{col 60}{space 3}0.812{col 68}{space 4}-1.260458{col 81}{space 3} .9875674
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.515224{col 40}{space 2} .9170317{col 51}{space 1}    1.65{col 60}{space 3}0.098{col 68}{space 4}-.2821249{col 81}{space 3} 3.312573
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .5107606{col 40}{space 2} .7461479{col 51}{space 1}    0.68{col 60}{space 3}0.494{col 68}{space 4}-.9516624{col 81}{space 3} 1.973184
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-29.06922{col 40}{space 2} 23.85649{col 51}{space 1}   -1.22{col 60}{space 3}0.223{col 68}{space 4}-75.82709{col 81}{space 3} 17.68865
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.187912{col 40}{space 2} .5137375{col 51}{space 1}   -4.26{col 60}{space 3}0.000{col 68}{space 4}-3.194819{col 81}{space 3}-1.181005
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1442278{col 40}{space 2}    .0528{col 51}{space 1}   -2.73{col 60}{space 3}0.006{col 68}{space 4} -.247714{col 81}{space 3}-.0407417
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0634996{col 40}{space 2} .0523071{col 51}{space 1}   -1.21{col 60}{space 3}0.225{col 68}{space 4}-.1660196{col 81}{space 3} .0390204
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.087096{col 40}{space 2} .0554963{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-.1958668{col 81}{space 3} .0216748
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.5974572{col 40}{space 2} .4833634{col 51}{space 1}   -1.24{col 60}{space 3}0.216{col 68}{space 4}-1.544832{col 81}{space 3} .3499176
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  .291698{col 40}{space 2} .1010294{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4}  .093684{col 81}{space 3} .4897121
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.3383779{col 40}{space 2} .6119636{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4}-1.537804{col 81}{space 3} .8610487
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -2.47134{col 40}{space 2} 2.412479{col 51}{space 1}   -1.02{col 60}{space 3}0.306{col 68}{space 4}-7.199711{col 81}{space 3} 2.257032
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table10 , word label title(Table 10: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table10.rtf"'"':Table10.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table10.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 11****
. *Models 1 and 2*
. heckprob imposition senderrestrictions targetrestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=senderrestrictions targetrestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-470.41142}  
Iteration 2:{space 3}log pseudolikelihood = {res:-470.12206}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.12204}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res: -4632.563}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3561.6184}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3539.4238}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3539.2165}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3539.2164}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-568.38069}  
Iteration 1:{space 3}log pseudolikelihood = {res:-466.52303}  
Iteration 2:{space 3}log pseudolikelihood = {res:-466.00279}  
Iteration 3:{space 3}log pseudolikelihood = {res:-466.00208}  
Iteration 4:{space 3}log pseudolikelihood = {res:-466.00208}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.9775}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4005.2678}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4005.2576}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4005.2576}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   429382
{txt}                                                Censored obs       = {res}   428562
                                                {txt}Uncensored obs     = {res}      820

                                                {txt}Wald chi2({res}15{txt})      = {res}   110.97
{txt}Log pseudolikelihood = {res}-4005.258                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition         {txt}{c |}
senderrestrictions {c |}{col 20}{res}{space 2} .0041017{col 32}{space 2} .0046982{col 43}{space 1}    0.87{col 52}{space 3}0.383{col 60}{space 4}-.0051065{col 73}{space 3}   .01331
{txt}targetrestrictions {c |}{col 20}{res}{space 2}  .004756{col 32}{space 2} .0029127{col 43}{space 1}    1.63{col 52}{space 3}0.102{col 60}{space 4}-.0009527{col 73}{space 3} .0104648
{txt}{space 15}BIT {c |}{col 20}{res}{space 2} .2797669{col 32}{space 2}  .480045{col 43}{space 1}    0.58{col 52}{space 3}0.560{col 60}{space 4} -.661104{col 73}{space 3} 1.220638
{txt}{space 15}IMF {c |}{col 20}{res}{space 2}-.6385775{col 32}{space 2} .5323241{col 43}{space 1}   -1.20{col 52}{space 3}0.230{col 60}{space 4}-1.681913{col 73}{space 3} .4047585
{txt}{space 15}WTO {c |}{col 20}{res}{space 2} .1897457{col 32}{space 2} .1402674{col 43}{space 1}    1.35{col 52}{space 3}0.176{col 60}{space 4}-.0851733{col 73}{space 3} .4646648
{txt}{space 10}jointdem {c |}{col 20}{res}{space 2}-.7572685{col 32}{space 2} .1923768{col 43}{space 1}   -3.94{col 52}{space 3}0.000{col 60}{space 4} -1.13432{col 73}{space 3} -.380217
{txt}{space 5}igomember_log {c |}{col 20}{res}{space 2} .6455553{col 32}{space 2} .2710184{col 43}{space 1}    2.38{col 52}{space 3}0.017{col 60}{space 4}  .114369{col 73}{space 3} 1.176742
{txt}{space 7}lowtradedep {c |}{col 20}{res}{space 2} .9436054{col 32}{space 2} 5.078856{col 43}{space 1}    0.19{col 52}{space 3}0.853{col 60}{space 4} -9.01077{col 73}{space 3} 10.89798
{txt}{space 10}ussender {c |}{col 20}{res}{space 2} 1.238633{col 32}{space 2} .2655357{col 43}{space 1}    4.66{col 52}{space 3}0.000{col 60}{space 4} .7181926{col 73}{space 3} 1.759073
{txt}{space 10}polity21 {c |}{col 20}{res}{space 2}-.0013334{col 32}{space 2} .0175846{col 43}{space 1}   -0.08{col 52}{space 3}0.940{col 60}{space 4}-.0357986{col 73}{space 3} .0331318
{txt}{space 10}polity22 {c |}{col 20}{res}{space 2} .0289209{col 32}{space 2} .0162136{col 43}{space 1}    1.78{col 52}{space 3}0.074{col 60}{space 4}-.0028572{col 73}{space 3}  .060699
{txt}{space 6}us_targetdem {c |}{col 20}{res}{space 2} .0203665{col 32}{space 2}  .019824{col 43}{space 1}    1.03{col 52}{space 3}0.304{col 60}{space 4}-.0184877{col 73}{space 3} .0592207
{txt}{space 8}alliance_r {c |}{col 20}{res}{space 2} .0100455{col 32}{space 2} .1673248{col 43}{space 1}    0.06{col 52}{space 3}0.952{col 60}{space 4}-.3179052{col 73}{space 3} .3379961
{txt}{space 10}capratio {c |}{col 20}{res}{space 2}-.0903649{col 32}{space 2} .0390588{col 43}{space 1}   -2.31{col 52}{space 3}0.021{col 60}{space 4}-.1669188{col 73}{space 3}-.0138111
{txt}{space 12}cwongo {c |}{col 20}{res}{space 2} .2810436{col 32}{space 2} .2699934{col 43}{space 1}    1.04{col 52}{space 3}0.298{col 60}{space 4}-.2481339{col 73}{space 3}  .810221
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-4.022395{col 32}{space 2} 1.115005{col 43}{space 1}   -3.61{col 52}{space 3}0.000{col 60}{space 4}-6.207764{col 73}{space 3}-1.837025
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat             {txt}{c |}
senderrestrictions {c |}{col 20}{res}{space 2} .0071281{col 32}{space 2} .0016259{col 43}{space 1}    4.38{col 52}{space 3}0.000{col 60}{space 4} .0039414{col 73}{space 3} .0103148
{txt}targetrestrictions {c |}{col 20}{res}{space 2} .0026534{col 32}{space 2} .0016595{col 43}{space 1}    1.60{col 52}{space 3}0.110{col 60}{space 4}-.0005992{col 73}{space 3} .0059059
{txt}{space 15}BIT {c |}{col 20}{res}{space 2} .1055294{col 32}{space 2} .1611841{col 43}{space 1}    0.65{col 52}{space 3}0.513{col 60}{space 4}-.2103856{col 73}{space 3} .4214444
{txt}{space 15}IMF {c |}{col 20}{res}{space 2}  .019399{col 32}{space 2}  .197019{col 43}{space 1}    0.10{col 52}{space 3}0.922{col 60}{space 4}-.3667512{col 73}{space 3} .4055493
{txt}{space 15}WTO {c |}{col 20}{res}{space 2}-.0751061{col 32}{space 2} .0659416{col 43}{space 1}   -1.14{col 52}{space 3}0.255{col 60}{space 4}-.2043493{col 73}{space 3} .0541371
{txt}{space 10}jointdem {c |}{col 20}{res}{space 2}-.2560437{col 32}{space 2} .1337395{col 43}{space 1}   -1.91{col 52}{space 3}0.056{col 60}{space 4}-.5181683{col 73}{space 3}  .006081
{txt}{space 5}igomember_log {c |}{col 20}{res}{space 2}  .907117{col 32}{space 2} .1340351{col 43}{space 1}    6.77{col 52}{space 3}0.000{col 60}{space 4} .6444129{col 73}{space 3} 1.169821
{txt}{space 7}lowtradedep {c |}{col 20}{res}{space 2} 8.063028{col 32}{space 2} 2.682047{col 43}{space 1}    3.01{col 52}{space 3}0.003{col 60}{space 4} 2.806312{col 73}{space 3} 13.31974
{txt}{space 10}ussender {c |}{col 20}{res}{space 2} 1.754326{col 32}{space 2}  .134459{col 43}{space 1}   13.05{col 52}{space 3}0.000{col 60}{space 4} 1.490792{col 73}{space 3} 2.017861
{txt}{space 10}polity21 {c |}{col 20}{res}{space 2}-.0030909{col 32}{space 2} .0062233{col 43}{space 1}   -0.50{col 52}{space 3}0.619{col 60}{space 4}-.0152884{col 73}{space 3} .0091065
{txt}{space 10}polity22 {c |}{col 20}{res}{space 2} .0069893{col 32}{space 2} .0062882{col 43}{space 1}    1.11{col 52}{space 3}0.266{col 60}{space 4}-.0053353{col 73}{space 3}  .019314
{txt}{space 6}us_targetdem {c |}{col 20}{res}{space 2}-.0068558{col 32}{space 2} .0103519{col 43}{space 1}   -0.66{col 52}{space 3}0.508{col 60}{space 4}-.0271452{col 73}{space 3} .0134336
{txt}{space 8}alliance_r {c |}{col 20}{res}{space 2} .2343492{col 32}{space 2} .0834385{col 43}{space 1}    2.81{col 52}{space 3}0.005{col 60}{space 4} .0708127{col 73}{space 3} .3978857
{txt}{space 10}capratio {c |}{col 20}{res}{space 2} -.014155{col 32}{space 2} .0188882{col 43}{space 1}   -0.75{col 52}{space 3}0.454{col 60}{space 4}-.0511751{col 73}{space 3} .0228652
{txt}{space 12}cwongo {c |}{col 20}{res}{space 2}  1.15056{col 32}{space 2} .1721168{col 43}{space 1}    6.68{col 52}{space 3}0.000{col 60}{space 4} .8132173{col 73}{space 3} 1.487903
{txt}{space 4}threat_years_i {c |}{col 20}{res}{space 2}-.2487103{col 32}{space 2} .0207322{col 43}{space 1}  -12.00{col 52}{space 3}0.000{col 60}{space 4}-.2893447{col 73}{space 3}-.2080759
{txt}{space 3}threat_years2_i {c |}{col 20}{res}{space 2} .0153586{col 32}{space 2} .0015894{col 43}{space 1}    9.66{col 52}{space 3}0.000{col 60}{space 4} .0122435{col 73}{space 3} .0184737
{txt}{space 3}threat_years3_i {c |}{col 20}{res}{space 2}-.0002852{col 32}{space 2} .0000347{col 43}{space 1}   -8.22{col 52}{space 3}0.000{col 60}{space 4}-.0003532{col 73}{space 3}-.0002172
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -5.81969{col 32}{space 2} .5015666{col 43}{space 1}  -11.60{col 52}{space 3}0.000{col 60}{space 4}-6.802742{col 73}{space 3}-4.836637
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /athrho {c |}{col 20}{res}{space 2} .4309579{col 32}{space 2}  .164668{col 43}{space 1}    2.62{col 52}{space 3}0.009{col 60}{space 4} .1082147{col 73}{space 3} .7537012
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               rho{col 20}{c |}{res}{space 2} .4061216{col 32}{space 2} .1375085{col 60}{space 4} .1077942{col 73}{space 3} .6373519
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    6.85   {txt}Prob > chi2 = {res}0.0089
{txt}
{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat senderrestrictions targetrestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.4253}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3694.6628}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3543.0996}  
Iteration 4:{space 3}log pseudolikelihood = {res: -3539.094}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3539.0755}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3539.0755}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2005.96
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3539.0755{txt}{col 51}Pseudo R2{col 67}= {res}    0.4055

{txt}{ralign 84:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}            threat{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
senderrestrictions {c |}{col 20}{res}{space 2} .0237449{col 32}{space 2} .0052162{col 43}{space 1}    4.55{col 52}{space 3}0.000{col 60}{space 4} .0135213{col 73}{space 3} .0339686
{txt}targetrestrictions {c |}{col 20}{res}{space 2} .0024604{col 32}{space 2} .0049545{col 43}{space 1}    0.50{col 52}{space 3}0.619{col 60}{space 4}-.0072501{col 73}{space 3}  .012171
{txt}{space 15}BIT {c |}{col 20}{res}{space 2} .2996561{col 32}{space 2} .4111544{col 43}{space 1}    0.73{col 52}{space 3}0.466{col 60}{space 4}-.5061916{col 73}{space 3} 1.105504
{txt}{space 15}IMF {c |}{col 20}{res}{space 2} .1736768{col 32}{space 2} .4843072{col 43}{space 1}    0.36{col 52}{space 3}0.720{col 60}{space 4}-.7755479{col 73}{space 3} 1.122902
{txt}{space 15}WTO {c |}{col 20}{res}{space 2}  -.26019{col 32}{space 2} .1597585{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-.5733109{col 73}{space 3} .0529308
{txt}{space 10}jointdem {c |}{col 20}{res}{space 2}-.7026764{col 32}{space 2} .3612398{col 43}{space 1}   -1.95{col 52}{space 3}0.052{col 60}{space 4}-1.410693{col 73}{space 3} .0053407
{txt}{space 5}igomember_log {c |}{col 20}{res}{space 2} 2.439051{col 32}{space 2}  .393967{col 43}{space 1}    6.19{col 52}{space 3}0.000{col 60}{space 4}  1.66689{col 73}{space 3} 3.211212
{txt}{space 7}lowtradedep {c |}{col 20}{res}{space 2} 16.70764{col 32}{space 2}  5.55987{col 43}{space 1}    3.01{col 52}{space 3}0.003{col 60}{space 4} 5.810493{col 73}{space 3} 27.60478
{txt}{space 10}ussender {c |}{col 20}{res}{space 2} 4.325351{col 32}{space 2} .3556348{col 43}{space 1}   12.16{col 52}{space 3}0.000{col 60}{space 4}  3.62832{col 73}{space 3} 5.022383
{txt}{space 10}polity21 {c |}{col 20}{res}{space 2}-.0083635{col 32}{space 2} .0193752{col 43}{space 1}   -0.43{col 52}{space 3}0.666{col 60}{space 4}-.0463381{col 73}{space 3} .0296111
{txt}{space 10}polity22 {c |}{col 20}{res}{space 2} .0346768{col 32}{space 2}  .020271{col 43}{space 1}    1.71{col 52}{space 3}0.087{col 60}{space 4}-.0050535{col 73}{space 3} .0744072
{txt}{space 6}us_targetdem {c |}{col 20}{res}{space 2}-.0393081{col 32}{space 2} .0243994{col 43}{space 1}   -1.61{col 52}{space 3}0.107{col 60}{space 4}  -.08713{col 73}{space 3} .0085138
{txt}{space 8}alliance_r {c |}{col 20}{res}{space 2} .5770371{col 32}{space 2}  .223216{col 43}{space 1}    2.59{col 52}{space 3}0.010{col 60}{space 4} .1395418{col 73}{space 3} 1.014532
{txt}{space 10}capratio {c |}{col 20}{res}{space 2}-.0703961{col 32}{space 2}  .054294{col 43}{space 1}   -1.30{col 52}{space 3}0.195{col 60}{space 4}-.1768105{col 73}{space 3} .0360182
{txt}{space 12}cwongo {c |}{col 20}{res}{space 2} 2.816615{col 32}{space 2} .5334028{col 43}{space 1}    5.28{col 52}{space 3}0.000{col 60}{space 4} 1.771164{col 73}{space 3} 3.862065
{txt}{space 4}threat_years_i {c |}{col 20}{res}{space 2}-.5846405{col 32}{space 2} .0539444{col 43}{space 1}  -10.84{col 52}{space 3}0.000{col 60}{space 4}-.6903696{col 73}{space 3}-.4789113
{txt}{space 3}threat_years2_i {c |}{col 20}{res}{space 2}   .03695{col 32}{space 2} .0040919{col 43}{space 1}    9.03{col 52}{space 3}0.000{col 60}{space 4}   .02893{col 73}{space 3} .0449699
{txt}{space 3}threat_years3_i {c |}{col 20}{res}{space 2} -.000698{col 32}{space 2} .0000893{col 43}{space 1}   -7.81{col 52}{space 3}0.000{col 60}{space 4}-.0008731{col 73}{space 3} -.000523
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-14.74405{col 32}{space 2} 1.343816{col 43}{space 1}  -10.97{col 52}{space 3}0.000{col 60}{space 4}-17.37788{col 73}{space 3}-12.11021
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition senderrestrictions targetrestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.20317}  
Iteration 2:{space 3}log pseudolikelihood = {res:-470.25755}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.25428}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.25428}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     55.15
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.25428{txt}{col 51}Pseudo R2{col 67}= {res}    0.0833

{txt}{ralign 84:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        imposition{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
senderrestrictions {c |}{col 20}{res}{space 2} .0043463{col 32}{space 2} .0086702{col 43}{space 1}    0.50{col 52}{space 3}0.616{col 60}{space 4}-.0126471{col 73}{space 3} .0213396
{txt}targetrestrictions {c |}{col 20}{res}{space 2} .0083942{col 32}{space 2}  .005613{col 43}{space 1}    1.50{col 52}{space 3}0.135{col 60}{space 4} -.002607{col 73}{space 3} .0193954
{txt}{space 15}BIT {c |}{col 20}{res}{space 2} .4426728{col 32}{space 2} .8749503{col 43}{space 1}    0.51{col 52}{space 3}0.613{col 60}{space 4}-1.272198{col 73}{space 3} 2.157544
{txt}{space 15}IMF {c |}{col 20}{res}{space 2}-.9567886{col 32}{space 2} 1.007667{col 43}{space 1}   -0.95{col 52}{space 3}0.342{col 60}{space 4} -2.93178{col 73}{space 3} 1.018203
{txt}{space 15}WTO {c |}{col 20}{res}{space 2}  .386241{col 32}{space 2} .2525237{col 43}{space 1}    1.53{col 52}{space 3}0.126{col 60}{space 4}-.1086963{col 73}{space 3} .8811783
{txt}{space 10}jointdem {c |}{col 20}{res}{space 2}-1.191795{col 32}{space 2}  .370308{col 43}{space 1}   -3.22{col 52}{space 3}0.001{col 60}{space 4}-1.917586{col 73}{space 3} -.466005
{txt}{space 5}igomember_log {c |}{col 20}{res}{space 2} .6911246{col 32}{space 2} .4994944{col 43}{space 1}    1.38{col 52}{space 3}0.166{col 60}{space 4}-.2878664{col 73}{space 3} 1.670116
{txt}{space 7}lowtradedep {c |}{col 20}{res}{space 2}  -3.5177{col 32}{space 2} 8.258379{col 43}{space 1}   -0.43{col 52}{space 3}0.670{col 60}{space 4}-19.70383{col 73}{space 3} 12.66843
{txt}{space 10}ussender {c |}{col 20}{res}{space 2} 1.019762{col 32}{space 2} .4162745{col 43}{space 1}    2.45{col 52}{space 3}0.014{col 60}{space 4} .2038792{col 73}{space 3} 1.835645
{txt}{space 10}polity21 {c |}{col 20}{res}{space 2}-.0006406{col 32}{space 2} .0322174{col 43}{space 1}   -0.02{col 52}{space 3}0.984{col 60}{space 4}-.0637855{col 73}{space 3} .0625043
{txt}{space 10}polity22 {c |}{col 20}{res}{space 2} .0454146{col 32}{space 2} .0313266{col 43}{space 1}    1.45{col 52}{space 3}0.147{col 60}{space 4}-.0159845{col 73}{space 3} .1068136
{txt}{space 6}us_targetdem {c |}{col 20}{res}{space 2}    .0458{col 32}{space 2} .0384566{col 43}{space 1}    1.19{col 52}{space 3}0.234{col 60}{space 4}-.0295735{col 73}{space 3} .1211735
{txt}{space 8}alliance_r {c |}{col 20}{res}{space 2}-.0767633{col 32}{space 2} .2983407{col 43}{space 1}   -0.26{col 52}{space 3}0.797{col 60}{space 4}-.6615003{col 73}{space 3} .5079737
{txt}{space 10}capratio {c |}{col 20}{res}{space 2}-.1523051{col 32}{space 2} .0712965{col 43}{space 1}   -2.14{col 52}{space 3}0.033{col 60}{space 4}-.2920437{col 73}{space 3}-.0125665
{txt}{space 12}cwongo {c |}{col 20}{res}{space 2}-.2567684{col 32}{space 2} .4610017{col 43}{space 1}   -0.56{col 52}{space 3}0.578{col 60}{space 4}-1.160315{col 73}{space 3} .6467784
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -3.24669{col 32}{space 2} 1.890869{col 43}{space 1}   -1.72{col 52}{space 3}0.086{col 60}{space 4}-6.952724{col 73}{space 3}  .459345
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat senderrestrictions targetrestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.4253}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3694.6628}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3543.0996}  
Iteration 4:{space 3}log pseudolikelihood = {res: -3539.094}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3539.0755}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3539.0755}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2005.96
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3539.0755{txt}{col 51}Pseudo R2{col 67}= {res}    0.4055

{txt}{ralign 84:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}            threat{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
senderrestrictions {c |}{col 20}{res}{space 2} .0237449{col 32}{space 2} .0052162{col 43}{space 1}    4.55{col 52}{space 3}0.000{col 60}{space 4} .0135213{col 73}{space 3} .0339686
{txt}targetrestrictions {c |}{col 20}{res}{space 2} .0024604{col 32}{space 2} .0049545{col 43}{space 1}    0.50{col 52}{space 3}0.619{col 60}{space 4}-.0072501{col 73}{space 3}  .012171
{txt}{space 15}BIT {c |}{col 20}{res}{space 2} .2996561{col 32}{space 2} .4111544{col 43}{space 1}    0.73{col 52}{space 3}0.466{col 60}{space 4}-.5061916{col 73}{space 3} 1.105504
{txt}{space 15}IMF {c |}{col 20}{res}{space 2} .1736768{col 32}{space 2} .4843072{col 43}{space 1}    0.36{col 52}{space 3}0.720{col 60}{space 4}-.7755479{col 73}{space 3} 1.122902
{txt}{space 15}WTO {c |}{col 20}{res}{space 2}  -.26019{col 32}{space 2} .1597585{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-.5733109{col 73}{space 3} .0529308
{txt}{space 10}jointdem {c |}{col 20}{res}{space 2}-.7026764{col 32}{space 2} .3612398{col 43}{space 1}   -1.95{col 52}{space 3}0.052{col 60}{space 4}-1.410693{col 73}{space 3} .0053407
{txt}{space 5}igomember_log {c |}{col 20}{res}{space 2} 2.439051{col 32}{space 2}  .393967{col 43}{space 1}    6.19{col 52}{space 3}0.000{col 60}{space 4}  1.66689{col 73}{space 3} 3.211212
{txt}{space 7}lowtradedep {c |}{col 20}{res}{space 2} 16.70764{col 32}{space 2}  5.55987{col 43}{space 1}    3.01{col 52}{space 3}0.003{col 60}{space 4} 5.810493{col 73}{space 3} 27.60478
{txt}{space 10}ussender {c |}{col 20}{res}{space 2} 4.325351{col 32}{space 2} .3556348{col 43}{space 1}   12.16{col 52}{space 3}0.000{col 60}{space 4}  3.62832{col 73}{space 3} 5.022383
{txt}{space 10}polity21 {c |}{col 20}{res}{space 2}-.0083635{col 32}{space 2} .0193752{col 43}{space 1}   -0.43{col 52}{space 3}0.666{col 60}{space 4}-.0463381{col 73}{space 3} .0296111
{txt}{space 10}polity22 {c |}{col 20}{res}{space 2} .0346768{col 32}{space 2}  .020271{col 43}{space 1}    1.71{col 52}{space 3}0.087{col 60}{space 4}-.0050535{col 73}{space 3} .0744072
{txt}{space 6}us_targetdem {c |}{col 20}{res}{space 2}-.0393081{col 32}{space 2} .0243994{col 43}{space 1}   -1.61{col 52}{space 3}0.107{col 60}{space 4}  -.08713{col 73}{space 3} .0085138
{txt}{space 8}alliance_r {c |}{col 20}{res}{space 2} .5770371{col 32}{space 2}  .223216{col 43}{space 1}    2.59{col 52}{space 3}0.010{col 60}{space 4} .1395418{col 73}{space 3} 1.014532
{txt}{space 10}capratio {c |}{col 20}{res}{space 2}-.0703961{col 32}{space 2}  .054294{col 43}{space 1}   -1.30{col 52}{space 3}0.195{col 60}{space 4}-.1768105{col 73}{space 3} .0360182
{txt}{space 12}cwongo {c |}{col 20}{res}{space 2} 2.816615{col 32}{space 2} .5334028{col 43}{space 1}    5.28{col 52}{space 3}0.000{col 60}{space 4} 1.771164{col 73}{space 3} 3.862065
{txt}{space 4}threat_years_i {c |}{col 20}{res}{space 2}-.5846405{col 32}{space 2} .0539444{col 43}{space 1}  -10.84{col 52}{space 3}0.000{col 60}{space 4}-.6903696{col 73}{space 3}-.4789113
{txt}{space 3}threat_years2_i {c |}{col 20}{res}{space 2}   .03695{col 32}{space 2} .0040919{col 43}{space 1}    9.03{col 52}{space 3}0.000{col 60}{space 4}   .02893{col 73}{space 3} .0449699
{txt}{space 3}threat_years3_i {c |}{col 20}{res}{space 2} -.000698{col 32}{space 2} .0000893{col 43}{space 1}   -7.81{col 52}{space 3}0.000{col 60}{space 4}-.0008731{col 73}{space 3} -.000523
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-14.74405{col 32}{space 2} 1.343816{col 43}{space 1}  -10.97{col 52}{space 3}0.000{col 60}{space 4}-17.37788{col 73}{space 3}-12.11021
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp senderrestrictions targetrestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -221.0399}  
Iteration 1:{space 3}log pseudolikelihood = {res:-153.55629}  
Iteration 2:{space 3}log pseudolikelihood = {res:-137.86701}  
Iteration 3:{space 3}log pseudolikelihood = {res:-132.07452}  
Iteration 4:{space 3}log pseudolikelihood = {res:-131.88074}  
Iteration 5:{space 3}log pseudolikelihood = {res:-131.87832}  
Iteration 6:{space 3}log pseudolikelihood = {res:-131.87832}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     56.53
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-131.87832{txt}{col 51}Pseudo R2{col 67}= {res}    0.4034

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}senderrestrictions {c |}{col 28}{res}{space 2}-.0014224{col 40}{space 2} .0147052{col 51}{space 1}   -0.10{col 60}{space 3}0.923{col 68}{space 4} -.030244{col 81}{space 3} .0273992
{txt}{space 8}targetrestrictions {c |}{col 28}{res}{space 2}-.0354708{col 40}{space 2} .0158965{col 51}{space 1}   -2.23{col 60}{space 3}0.026{col 68}{space 4}-.0666273{col 81}{space 3}-.0043142
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 1.275221{col 40}{space 2} 1.289156{col 51}{space 1}    0.99{col 60}{space 3}0.323{col 68}{space 4}-1.251478{col 81}{space 3}  3.80192
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.2491293{col 40}{space 2} .7367636{col 51}{space 1}   -0.34{col 60}{space 3}0.735{col 68}{space 4}-1.693159{col 81}{space 3} 1.194901
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.004998{col 40}{space 2} .9111219{col 51}{space 1}   -1.10{col 60}{space 3}0.270{col 68}{space 4}-2.790764{col 81}{space 3} .7807685
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.616851{col 40}{space 2} .7462136{col 51}{space 1}   -3.51{col 60}{space 3}0.000{col 68}{space 4}-4.079403{col 81}{space 3}  -1.1543
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.344263{col 40}{space 2} 1.358082{col 51}{space 1}   -0.99{col 60}{space 3}0.322{col 68}{space 4}-4.006055{col 81}{space 3} 1.317529
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.876291{col 40}{space 2} .9990275{col 51}{space 1}    1.88{col 60}{space 3}0.060{col 68}{space 4}-.0817671{col 81}{space 3} 3.834349
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0428099{col 40}{space 2} .0997628{col 51}{space 1}    0.43{col 60}{space 3}0.668{col 68}{space 4}-.1527216{col 81}{space 3} .2383413
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1278727{col 40}{space 2} .1360898{col 51}{space 1}    0.94{col 60}{space 3}0.347{col 68}{space 4}-.1388585{col 81}{space 3} .3946039
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-2.057622{col 40}{space 2}  1.22265{col 51}{space 1}   -1.68{col 60}{space 3}0.092{col 68}{space 4}-4.453971{col 81}{space 3} .3387272
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.7243889{col 40}{space 2} 1.018073{col 51}{space 1}   -0.71{col 60}{space 3}0.477{col 68}{space 4}-2.719776{col 81}{space 3} 1.270998
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}  2.24225{col 40}{space 2} 1.137675{col 51}{space 1}    1.97{col 60}{space 3}0.049{col 68}{space 4} .0124473{col 81}{space 3} 4.472053
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.902705{col 40}{space 2} 1.127237{col 51}{space 1}    1.69{col 60}{space 3}0.091{col 68}{space 4}-.3066399{col 81}{space 3}  4.11205
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-112.7986{col 40}{space 2} 150.3697{col 51}{space 1}   -0.75{col 60}{space 3}0.453{col 68}{space 4}-407.5178{col 81}{space 3} 181.9207
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.6164902{col 40}{space 2} 1.014102{col 51}{space 1}   -0.61{col 60}{space 3}0.543{col 68}{space 4}-2.604093{col 81}{space 3} 1.371112
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1479673{col 40}{space 2} .1318403{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-.1104349{col 81}{space 3} .4063695
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0253387{col 40}{space 2} .0898632{col 51}{space 1}   -0.28{col 60}{space 3}0.778{col 68}{space 4}-.2014675{col 81}{space 3}   .15079
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1100879{col 40}{space 2} .0794763{col 51}{space 1}   -1.39{col 60}{space 3}0.166{col 68}{space 4}-.2658586{col 81}{space 3} .0456829
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} -.279172{col 40}{space 2} .8518602{col 51}{space 1}   -0.33{col 60}{space 3}0.743{col 68}{space 4}-1.948787{col 81}{space 3} 1.390443
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2065464{col 40}{space 2}  .141157{col 51}{space 1}    1.46{col 60}{space 3}0.143{col 68}{space 4}-.0701162{col 81}{space 3}  .483209
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .0237318{col 40}{space 2} .6015972{col 51}{space 1}    0.04{col 60}{space 3}0.969{col 68}{space 4}-1.155377{col 81}{space 3} 1.202841
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-7.367384{col 40}{space 2} 3.528646{col 51}{space 1}   -2.09{col 60}{space 3}0.037{col 68}{space 4} -14.2834{col 81}{space 3}-.4513643
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat senderrestrictions targetrestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.4253}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3694.6628}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3543.0996}  
Iteration 4:{space 3}log pseudolikelihood = {res: -3539.094}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3539.0755}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3539.0755}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2005.96
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3539.0755{txt}{col 51}Pseudo R2{col 67}= {res}    0.4055

{txt}{ralign 84:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}            threat{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
senderrestrictions {c |}{col 20}{res}{space 2} .0237449{col 32}{space 2} .0052162{col 43}{space 1}    4.55{col 52}{space 3}0.000{col 60}{space 4} .0135213{col 73}{space 3} .0339686
{txt}targetrestrictions {c |}{col 20}{res}{space 2} .0024604{col 32}{space 2} .0049545{col 43}{space 1}    0.50{col 52}{space 3}0.619{col 60}{space 4}-.0072501{col 73}{space 3}  .012171
{txt}{space 15}BIT {c |}{col 20}{res}{space 2} .2996561{col 32}{space 2} .4111544{col 43}{space 1}    0.73{col 52}{space 3}0.466{col 60}{space 4}-.5061916{col 73}{space 3} 1.105504
{txt}{space 15}IMF {c |}{col 20}{res}{space 2} .1736768{col 32}{space 2} .4843072{col 43}{space 1}    0.36{col 52}{space 3}0.720{col 60}{space 4}-.7755479{col 73}{space 3} 1.122902
{txt}{space 15}WTO {c |}{col 20}{res}{space 2}  -.26019{col 32}{space 2} .1597585{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-.5733109{col 73}{space 3} .0529308
{txt}{space 10}jointdem {c |}{col 20}{res}{space 2}-.7026764{col 32}{space 2} .3612398{col 43}{space 1}   -1.95{col 52}{space 3}0.052{col 60}{space 4}-1.410693{col 73}{space 3} .0053407
{txt}{space 5}igomember_log {c |}{col 20}{res}{space 2} 2.439051{col 32}{space 2}  .393967{col 43}{space 1}    6.19{col 52}{space 3}0.000{col 60}{space 4}  1.66689{col 73}{space 3} 3.211212
{txt}{space 7}lowtradedep {c |}{col 20}{res}{space 2} 16.70764{col 32}{space 2}  5.55987{col 43}{space 1}    3.01{col 52}{space 3}0.003{col 60}{space 4} 5.810493{col 73}{space 3} 27.60478
{txt}{space 10}ussender {c |}{col 20}{res}{space 2} 4.325351{col 32}{space 2} .3556348{col 43}{space 1}   12.16{col 52}{space 3}0.000{col 60}{space 4}  3.62832{col 73}{space 3} 5.022383
{txt}{space 10}polity21 {c |}{col 20}{res}{space 2}-.0083635{col 32}{space 2} .0193752{col 43}{space 1}   -0.43{col 52}{space 3}0.666{col 60}{space 4}-.0463381{col 73}{space 3} .0296111
{txt}{space 10}polity22 {c |}{col 20}{res}{space 2} .0346768{col 32}{space 2}  .020271{col 43}{space 1}    1.71{col 52}{space 3}0.087{col 60}{space 4}-.0050535{col 73}{space 3} .0744072
{txt}{space 6}us_targetdem {c |}{col 20}{res}{space 2}-.0393081{col 32}{space 2} .0243994{col 43}{space 1}   -1.61{col 52}{space 3}0.107{col 60}{space 4}  -.08713{col 73}{space 3} .0085138
{txt}{space 8}alliance_r {c |}{col 20}{res}{space 2} .5770371{col 32}{space 2}  .223216{col 43}{space 1}    2.59{col 52}{space 3}0.010{col 60}{space 4} .1395418{col 73}{space 3} 1.014532
{txt}{space 10}capratio {c |}{col 20}{res}{space 2}-.0703961{col 32}{space 2}  .054294{col 43}{space 1}   -1.30{col 52}{space 3}0.195{col 60}{space 4}-.1768105{col 73}{space 3} .0360182
{txt}{space 12}cwongo {c |}{col 20}{res}{space 2} 2.816615{col 32}{space 2} .5334028{col 43}{space 1}    5.28{col 52}{space 3}0.000{col 60}{space 4} 1.771164{col 73}{space 3} 3.862065
{txt}{space 4}threat_years_i {c |}{col 20}{res}{space 2}-.5846405{col 32}{space 2} .0539444{col 43}{space 1}  -10.84{col 52}{space 3}0.000{col 60}{space 4}-.6903696{col 73}{space 3}-.4789113
{txt}{space 3}threat_years2_i {c |}{col 20}{res}{space 2}   .03695{col 32}{space 2} .0040919{col 43}{space 1}    9.03{col 52}{space 3}0.000{col 60}{space 4}   .02893{col 73}{space 3} .0449699
{txt}{space 3}threat_years3_i {c |}{col 20}{res}{space 2} -.000698{col 32}{space 2} .0000893{col 43}{space 1}   -7.81{col 52}{space 3}0.000{col 60}{space 4}-.0008731{col 73}{space 3} -.000523
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-14.74405{col 32}{space 2} 1.343816{col 43}{space 1}  -10.97{col 52}{space 3}0.000{col 60}{space 4}-17.37788{col 73}{space 3}-12.11021
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp senderrestrictions targetrestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -302.9375}  
Iteration 1:{space 3}log pseudolikelihood = {res:-214.35058}  
Iteration 2:{space 3}log pseudolikelihood = {res:-207.08909}  
Iteration 3:{space 3}log pseudolikelihood = {res:-206.90106}  
Iteration 4:{space 3}log pseudolikelihood = {res:-206.90061}  
Iteration 5:{space 3}log pseudolikelihood = {res:-206.90061}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     69.78
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-206.90061{txt}{col 51}Pseudo R2{col 67}= {res}    0.3170

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}senderrestrictions {c |}{col 28}{res}{space 2}-.0191722{col 40}{space 2} .0131904{col 51}{space 1}   -1.45{col 60}{space 3}0.146{col 68}{space 4}-.0450248{col 81}{space 3} .0066805
{txt}{space 8}targetrestrictions {c |}{col 28}{res}{space 2} .0313542{col 40}{space 2} .0136961{col 51}{space 1}    2.29{col 60}{space 3}0.022{col 68}{space 4} .0045104{col 81}{space 3} .0581981
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-.5568146{col 40}{space 2} 1.360996{col 51}{space 1}   -0.41{col 60}{space 3}0.682{col 68}{space 4}-3.224318{col 81}{space 3} 2.110689
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.4912166{col 40}{space 2} .6292508{col 51}{space 1}   -0.78{col 60}{space 3}0.435{col 68}{space 4}-1.724525{col 81}{space 3} .7420922
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}  2.44803{col 40}{space 2} .8309414{col 51}{space 1}    2.95{col 60}{space 3}0.003{col 68}{space 4}  .819415{col 81}{space 3} 4.076645
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .6892658{col 40}{space 2} .7177695{col 51}{space 1}    0.96{col 60}{space 3}0.337{col 68}{space 4}-.7175366{col 81}{space 3} 2.096068
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.380893{col 40}{space 2} 1.220223{col 51}{space 1}    2.77{col 60}{space 3}0.006{col 68}{space 4} .9892993{col 81}{space 3} 5.772486
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.1124914{col 40}{space 2}  .959746{col 51}{space 1}   -0.12{col 60}{space 3}0.907{col 68}{space 4}-1.993559{col 81}{space 3} 1.768576
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.1917098{col 40}{space 2} .0978173{col 51}{space 1}   -1.96{col 60}{space 3}0.050{col 68}{space 4}-.3834282{col 81}{space 3} 8.65e-06
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0694183{col 40}{space 2} .0820116{col 51}{space 1}   -0.85{col 60}{space 3}0.397{col 68}{space 4}-.2301582{col 81}{space 3} .0913215
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} 1.607481{col 40}{space 2} 1.049847{col 51}{space 1}    1.53{col 60}{space 3}0.126{col 68}{space 4}-.4501824{col 81}{space 3} 3.665144
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.0635314{col 40}{space 2} .6025754{col 51}{space 1}   -0.11{col 60}{space 3}0.916{col 68}{space 4}-1.244557{col 81}{space 3} 1.117495
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.884555{col 40}{space 2} .9515226{col 51}{space 1}    1.98{col 60}{space 3}0.048{col 68}{space 4} .0196049{col 81}{space 3} 3.749505
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .6802756{col 40}{space 2} .7315463{col 51}{space 1}    0.93{col 60}{space 3}0.352{col 68}{space 4}-.7535289{col 81}{space 3}  2.11408
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-39.31211{col 40}{space 2} 24.75018{col 51}{space 1}   -1.59{col 60}{space 3}0.112{col 68}{space 4}-87.82158{col 81}{space 3} 9.197362
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.829662{col 40}{space 2}   .55127{col 51}{space 1}   -3.32{col 60}{space 3}0.001{col 68}{space 4}-2.910132{col 81}{space 3}-.7491931
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1259116{col 40}{space 2} .0530533{col 51}{space 1}   -2.37{col 60}{space 3}0.018{col 68}{space 4}-.2298941{col 81}{space 3}-.0219291
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1512567{col 40}{space 2} .0635627{col 51}{space 1}   -2.38{col 60}{space 3}0.017{col 68}{space 4}-.2758372{col 81}{space 3}-.0266761
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0519188{col 40}{space 2} .0506152{col 51}{space 1}   -1.03{col 60}{space 3}0.305{col 68}{space 4}-.1511228{col 81}{space 3} .0472852
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.4724456{col 40}{space 2} .4697341{col 51}{space 1}   -1.01{col 60}{space 3}0.315{col 68}{space 4}-1.393107{col 81}{space 3} .4482162
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2861895{col 40}{space 2} .0961697{col 51}{space 1}    2.98{col 60}{space 3}0.003{col 68}{space 4} .0977004{col 81}{space 3} .4746787
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.5001582{col 40}{space 2} .5725055{col 51}{space 1}   -0.87{col 60}{space 3}0.382{col 68}{space 4}-1.622248{col 81}{space 3} .6219319
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.636463{col 40}{space 2} 2.262758{col 51}{space 1}   -1.17{col 60}{space 3}0.244{col 68}{space 4}-7.071388{col 81}{space 3} 1.798462
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table11 , word label title(Table 11: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table11.rtf"'"':Table11.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table11.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 12****
. *Models 1 and 2*
. heckprob imposition senderkaopen targetkaopen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=senderkaopen targetkaopen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-468.82689}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.52125}  
Iteration 3:{space 3}log pseudolikelihood = {res: -468.5212}  
Iteration 4:{space 3}log pseudolikelihood = {res: -468.5212}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4513.4742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3390.0507}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3360.6825}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3360.3455}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3360.3454}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-572.53957}  
Iteration 1:{space 3}log pseudolikelihood = {res:-466.43933}  
Iteration 2:{space 3}log pseudolikelihood = {res:-465.85005}  
Iteration 3:{space 3}log pseudolikelihood = {res:-465.81549}  
Iteration 4:{space 3}log pseudolikelihood = {res:-465.81056}  
Iteration 5:{space 3}log pseudolikelihood = {res:-465.80983}  
Iteration 6:{space 3}log pseudolikelihood = {res:-465.80973}  
Iteration 7:{space 3}log pseudolikelihood = {res:-465.80971}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3826.4365}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3826.1752}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3826.1742}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3826.1742}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   434270
{txt}                                                Censored obs       = {res}   433444
                                                {txt}Uncensored obs     = {res}      826

{col 49}{help j_robustsingular##|_new:Wald chi2(13){col 68}= }{col 70}        .
{txt}Log pseudolikelihood = {res}-3826.174                {txt}Prob > chi2        =    {res}     .

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 3}senderkaopen {c |}{col 17}{res}{space 2} .0822469{col 29}{space 2} .0561896{col 40}{space 1}    1.46{col 49}{space 3}0.143{col 57}{space 4}-.0278827{col 70}{space 3} .1923765
{txt}{space 3}targetkaopen {c |}{col 17}{res}{space 2} .0947208{col 29}{space 2} .0378295{col 40}{space 1}    2.50{col 49}{space 3}0.012{col 57}{space 4} .0205764{col 70}{space 3} .1688652
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3362939{col 29}{space 2} .5004344{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4}-.6445395{col 70}{space 3} 1.317127
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-5.560398{col 29}{space 2} .5006547{col 40}{space 1}  -11.11{col 49}{space 3}0.000{col 57}{space 4}-6.541663{col 70}{space 3}-4.579132
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .1763282{col 29}{space 2} .1471109{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-.1120038{col 70}{space 3} .4646603
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7900294{col 29}{space 2} .2150194{col 40}{space 1}   -3.67{col 49}{space 3}0.000{col 57}{space 4} -1.21146{col 70}{space 3}-.3685991
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7753471{col 29}{space 2} .2902721{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .2064242{col 70}{space 3}  1.34427
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.309585{col 29}{space 2} 5.541858{col 40}{space 1}   -0.60{col 49}{space 3}0.550{col 57}{space 4}-14.17143{col 70}{space 3} 7.552256
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.163056{col 29}{space 2} .3184787{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .5388487{col 70}{space 3} 1.787262
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0058361{col 29}{space 2} .0188692{col 40}{space 1}   -0.31{col 49}{space 3}0.757{col 57}{space 4}-.0428191{col 70}{space 3} .0311469
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0177442{col 29}{space 2} .0180703{col 40}{space 1}    0.98{col 49}{space 3}0.326{col 57}{space 4}-.0176729{col 70}{space 3} .0531613
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0313533{col 29}{space 2} .0205733{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4}-.0089696{col 70}{space 3} .0716762
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0572656{col 29}{space 2} .1774675{col 40}{space 1}   -0.32{col 49}{space 3}0.747{col 57}{space 4}-.4050956{col 70}{space 3} .2905643
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1302823{col 29}{space 2} .0432255{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4}-.2150027{col 70}{space 3}-.0455619
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .1431772{col 29}{space 2} .3044128{col 40}{space 1}    0.47{col 49}{space 3}0.638{col 57}{space 4}-.4534609{col 70}{space 3} .7398153
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.210495{col 29}{space 2}  1.58774{col 40}{space 1}    0.76{col 49}{space 3}0.446{col 57}{space 4}-1.901418{col 70}{space 3} 4.322408
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 3}senderkaopen {c |}{col 17}{res}{space 2} .1012562{col 29}{space 2} .0240565{col 40}{space 1}    4.21{col 49}{space 3}0.000{col 57}{space 4} .0541063{col 70}{space 3} .1484061
{txt}{space 3}targetkaopen {c |}{col 17}{res}{space 2} .0448972{col 29}{space 2}  .021506{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4} .0027462{col 70}{space 3} .0870482
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2527021{col 29}{space 2} .1632594{col 40}{space 1}    1.55{col 49}{space 3}0.122{col 57}{space 4}-.0672804{col 70}{space 3} .5726846
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .4478367{col 29}{space 2} .2106322{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} .0350052{col 70}{space 3} .8606682
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1318326{col 29}{space 2} .0660396{col 40}{space 1}   -2.00{col 49}{space 3}0.046{col 57}{space 4}-.2612679{col 70}{space 3}-.0023974
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2529497{col 29}{space 2}  .118917{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4}-.4860227{col 70}{space 3}-.0198767
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.106782{col 29}{space 2} .1297942{col 40}{space 1}    8.53{col 49}{space 3}0.000{col 57}{space 4} .8523901{col 70}{space 3} 1.361174
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  7.64373{col 29}{space 2} 2.722333{col 40}{space 1}    2.81{col 49}{space 3}0.005{col 57}{space 4} 2.308055{col 70}{space 3}  12.9794
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.909464{col 29}{space 2} .1331269{col 40}{space 1}   14.34{col 49}{space 3}0.000{col 57}{space 4}  1.64854{col 70}{space 3} 2.170388
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0038908{col 29}{space 2} .0059965{col 40}{space 1}    0.65{col 49}{space 3}0.516{col 57}{space 4}-.0078622{col 70}{space 3} .0156437
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0145856{col 29}{space 2} .0061243{col 40}{space 1}    2.38{col 49}{space 3}0.017{col 57}{space 4} .0025822{col 70}{space 3}  .026589
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0225987{col 29}{space 2} .0110584{col 40}{space 1}   -2.04{col 49}{space 3}0.041{col 57}{space 4}-.0442728{col 70}{space 3}-.0009245
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}  .113627{col 29}{space 2} .0797462{col 40}{space 1}    1.42{col 49}{space 3}0.154{col 57}{space 4}-.0426727{col 70}{space 3} .2699268
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} -.031525{col 29}{space 2} .0148834{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} -.060696{col 70}{space 3} -.002354
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.200519{col 29}{space 2} .1701033{col 40}{space 1}    7.06{col 49}{space 3}0.000{col 57}{space 4} .8671223{col 70}{space 3} 1.533915
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2261117{col 29}{space 2} .0222418{col 40}{space 1}  -10.17{col 49}{space 3}0.000{col 57}{space 4}-.2697048{col 70}{space 3}-.1825186
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0131465{col 29}{space 2} .0016121{col 40}{space 1}    8.15{col 49}{space 3}0.000{col 57}{space 4} .0099868{col 70}{space 3} .0163061
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002374{col 29}{space 2} .0000345{col 40}{space 1}   -6.88{col 49}{space 3}0.000{col 57}{space 4}-.0003051{col 70}{space 3}-.0001698
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -6.49338{col 29}{space 2} .4648432{col 40}{space 1}  -13.97{col 49}{space 3}0.000{col 57}{space 4}-7.404456{col 70}{space 3}-5.582304
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .3468474{col 29}{space 2} .1784847{col 40}{space 1}    1.94{col 49}{space 3}0.052{col 57}{space 4}-.0029762{col 70}{space 3}  .696671
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .3335767{col 29}{space 2} .1586241{col 57}{space 4}-.0029762{col 70}{space 3} .6022505
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    3.78   {txt}Prob > chi2 = {res}0.0520
{txt}
{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat senderkaopen targetkaopen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -4148.68}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3513.6955}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3379.2646}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3376.3198}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3376.3109}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3376.3109}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2166.36
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3376.3109{txt}{col 51}Pseudo R2{col 67}= {res}    0.4373

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}senderkaopen {c |}{col 17}{res}{space 2} .3212916{col 29}{space 2}  .077146{col 40}{space 1}    4.16{col 49}{space 3}0.000{col 57}{space 4} .1700882{col 70}{space 3} .4724949
{txt}{space 3}targetkaopen {c |}{col 17}{res}{space 2} .0861313{col 29}{space 2} .0601217{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.0317051{col 70}{space 3} .2039678
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6608072{col 29}{space 2} .4030839{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4}-.1292228{col 70}{space 3} 1.450837
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.313823{col 29}{space 2} .5246274{col 40}{space 1}    2.50{col 49}{space 3}0.012{col 57}{space 4} .2855724{col 70}{space 3} 2.342074
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3630521{col 29}{space 2} .1598569{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4}-.6763658{col 70}{space 3}-.0497384
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.6447928{col 29}{space 2} .3288161{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.289261{col 70}{space 3} -.000325
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.861878{col 29}{space 2} .3724535{col 40}{space 1}    7.68{col 49}{space 3}0.000{col 57}{space 4} 2.131883{col 70}{space 3} 3.591873
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 15.46779{col 29}{space 2} 6.479127{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4}  2.76893{col 70}{space 3} 28.16664
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.639361{col 29}{space 2} .3618902{col 40}{space 1}   12.82{col 49}{space 3}0.000{col 57}{space 4} 3.930069{col 70}{space 3} 5.348653
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  .013324{col 29}{space 2} .0190955{col 40}{space 1}    0.70{col 49}{space 3}0.485{col 57}{space 4}-.0241025{col 70}{space 3} .0507506
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0529681{col 29}{space 2} .0204411{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .0129044{col 70}{space 3} .0930318
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0787657{col 29}{space 2} .0265508{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4}-.1308043{col 70}{space 3} -.026727
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2552044{col 29}{space 2} .2132025{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-.1626648{col 70}{space 3} .6730736
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0941627{col 29}{space 2} .0437002{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4}-.1798136{col 70}{space 3}-.0085119
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 3.004713{col 29}{space 2} .5231662{col 40}{space 1}    5.74{col 49}{space 3}0.000{col 57}{space 4} 1.979326{col 70}{space 3}   4.0301
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5113283{col 29}{space 2} .0599595{col 40}{space 1}   -8.53{col 49}{space 3}0.000{col 57}{space 4}-.6288468{col 70}{space 3}-.3938099
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0310766{col 29}{space 2} .0042689{col 40}{space 1}    7.28{col 49}{space 3}0.000{col 57}{space 4} .0227096{col 70}{space 3} .0394435
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005822{col 29}{space 2} .0000908{col 40}{space 1}   -6.41{col 49}{space 3}0.000{col 57}{space 4}-.0007601{col 70}{space 3}-.0004043
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-16.31134{col 29}{space 2} 1.282716{col 40}{space 1}  -12.72{col 49}{space 3}0.000{col 57}{space 4}-18.82542{col 70}{space 3}-13.79727
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition senderkaopen targetkaopen BIT WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-519.05267}  
Iteration 1:{space 3}log pseudolikelihood = {res:-472.17879}  
Iteration 2:{space 3}log pseudolikelihood = {res:-471.16451}  
Iteration 3:{space 3}log pseudolikelihood = {res:-471.16077}  
Iteration 4:{space 3}log pseudolikelihood = {res:-471.16077}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       826
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     55.78
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-471.16077{txt}{col 51}Pseudo R2{col 67}= {res}    0.0923

{txt}{ralign 79:(Std. Err. adjusted for {res:228} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}senderkaopen {c |}{col 15}{res}{space 2} .0990017{col 27}{space 2} .0997792{col 38}{space 1}    0.99{col 47}{space 3}0.321{col 55}{space 4} -.096562{col 68}{space 3} .2945653
{txt}{space 1}targetkaopen {c |}{col 15}{res}{space 2} .1409023{col 27}{space 2} .0687784{col 38}{space 1}    2.05{col 47}{space 3}0.040{col 55}{space 4} .0060991{col 68}{space 3} .2757054
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4318107{col 27}{space 2} .9047628{col 38}{space 1}    0.48{col 47}{space 3}0.633{col 55}{space 4}-1.341492{col 68}{space 3} 2.205113
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .3653797{col 27}{space 2} .2547086{col 38}{space 1}    1.43{col 47}{space 3}0.151{col 55}{space 4}-.1338399{col 68}{space 3} .8645993
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.327888{col 27}{space 2} .3969377{col 38}{space 1}   -3.35{col 47}{space 3}0.001{col 55}{space 4}-2.105872{col 68}{space 3}-.5499045
{txt}igomember_log {c |}{col 15}{res}{space 2} .8587905{col 27}{space 2} .4977483{col 38}{space 1}    1.73{col 47}{space 3}0.084{col 55}{space 4}-.1167783{col 68}{space 3} 1.834359
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.265962{col 27}{space 2} 9.229674{col 38}{space 1}   -0.90{col 47}{space 3}0.370{col 55}{space 4}-26.35579{col 68}{space 3} 9.823866
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .9162378{col 27}{space 2} .4195869{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0938627{col 68}{space 3} 1.738613
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0046855{col 27}{space 2} .0336239{col 38}{space 1}   -0.14{col 47}{space 3}0.889{col 55}{space 4}-.0705871{col 68}{space 3}  .061216
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0307593{col 27}{space 2} .0326609{col 38}{space 1}    0.94{col 47}{space 3}0.346{col 55}{space 4}-.0332549{col 68}{space 3} .0947736
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0692313{col 27}{space 2}  .039148{col 38}{space 1}    1.77{col 47}{space 3}0.077{col 55}{space 4}-.0074973{col 68}{space 3}   .14596
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1434313{col 27}{space 2} .3087891{col 38}{space 1}   -0.46{col 47}{space 3}0.642{col 55}{space 4}-.7486469{col 68}{space 3} .4617842
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1958819{col 27}{space 2} .0765396{col 38}{space 1}   -2.56{col 47}{space 3}0.010{col 55}{space 4}-.3458969{col 68}{space 3} -.045867
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.3366842{col 27}{space 2} .4856528{col 38}{space 1}   -0.69{col 47}{space 3}0.488{col 55}{space 4}-1.288546{col 68}{space 3} .6151779
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.930556{col 27}{space 2} 1.729988{col 38}{space 1}   -2.27{col 47}{space 3}0.023{col 55}{space 4} -7.32127{col 68}{space 3}-.5398422
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat senderkaopen targetkaopen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -4148.68}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3513.6955}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3379.2646}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3376.3198}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3376.3109}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3376.3109}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2166.36
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3376.3109{txt}{col 51}Pseudo R2{col 67}= {res}    0.4373

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}senderkaopen {c |}{col 17}{res}{space 2} .3212916{col 29}{space 2}  .077146{col 40}{space 1}    4.16{col 49}{space 3}0.000{col 57}{space 4} .1700882{col 70}{space 3} .4724949
{txt}{space 3}targetkaopen {c |}{col 17}{res}{space 2} .0861313{col 29}{space 2} .0601217{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.0317051{col 70}{space 3} .2039678
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6608072{col 29}{space 2} .4030839{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4}-.1292228{col 70}{space 3} 1.450837
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.313823{col 29}{space 2} .5246274{col 40}{space 1}    2.50{col 49}{space 3}0.012{col 57}{space 4} .2855724{col 70}{space 3} 2.342074
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3630521{col 29}{space 2} .1598569{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4}-.6763658{col 70}{space 3}-.0497384
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.6447928{col 29}{space 2} .3288161{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.289261{col 70}{space 3} -.000325
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.861878{col 29}{space 2} .3724535{col 40}{space 1}    7.68{col 49}{space 3}0.000{col 57}{space 4} 2.131883{col 70}{space 3} 3.591873
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 15.46779{col 29}{space 2} 6.479127{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4}  2.76893{col 70}{space 3} 28.16664
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.639361{col 29}{space 2} .3618902{col 40}{space 1}   12.82{col 49}{space 3}0.000{col 57}{space 4} 3.930069{col 70}{space 3} 5.348653
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  .013324{col 29}{space 2} .0190955{col 40}{space 1}    0.70{col 49}{space 3}0.485{col 57}{space 4}-.0241025{col 70}{space 3} .0507506
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0529681{col 29}{space 2} .0204411{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .0129044{col 70}{space 3} .0930318
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0787657{col 29}{space 2} .0265508{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4}-.1308043{col 70}{space 3} -.026727
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2552044{col 29}{space 2} .2132025{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-.1626648{col 70}{space 3} .6730736
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0941627{col 29}{space 2} .0437002{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4}-.1798136{col 70}{space 3}-.0085119
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 3.004713{col 29}{space 2} .5231662{col 40}{space 1}    5.74{col 49}{space 3}0.000{col 57}{space 4} 1.979326{col 70}{space 3}   4.0301
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5113283{col 29}{space 2} .0599595{col 40}{space 1}   -8.53{col 49}{space 3}0.000{col 57}{space 4}-.6288468{col 70}{space 3}-.3938099
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0310766{col 29}{space 2} .0042689{col 40}{space 1}    7.28{col 49}{space 3}0.000{col 57}{space 4} .0227096{col 70}{space 3} .0394435
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005822{col 29}{space 2} .0000908{col 40}{space 1}   -6.41{col 49}{space 3}0.000{col 57}{space 4}-.0007601{col 70}{space 3}-.0004043
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-16.31134{col 29}{space 2} 1.282716{col 40}{space 1}  -12.72{col 49}{space 3}0.000{col 57}{space 4}-18.82542{col 70}{space 3}-13.79727
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp senderkaopen targetkaopen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-251.20638}  
Iteration 1:{space 3}log pseudolikelihood = {res:-154.73631}  
Iteration 2:{space 3}log pseudolikelihood = {res:-136.77653}  
Iteration 3:{space 3}log pseudolikelihood = {res:-131.73026}  
Iteration 4:{space 3}log pseudolikelihood = {res:-131.46129}  
Iteration 5:{space 3}log pseudolikelihood = {res:-131.45692}  
Iteration 6:{space 3}log pseudolikelihood = {res:-131.45691}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     55.91
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-131.45691{txt}{col 51}Pseudo R2{col 67}= {res}    0.4767

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}senderkaopen {c |}{col 28}{res}{space 2}-.2774848{col 40}{space 2} .2739797{col 51}{space 1}   -1.01{col 60}{space 3}0.311{col 68}{space 4}-.8144751{col 81}{space 3} .2595054
{txt}{space 14}targetkaopen {c |}{col 28}{res}{space 2}-.4857165{col 40}{space 2} .1825726{col 51}{space 1}   -2.66{col 60}{space 3}0.008{col 68}{space 4}-.8435522{col 81}{space 3}-.1278809
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.838105{col 40}{space 2} 1.232163{col 51}{space 1}    2.30{col 60}{space 3}0.021{col 68}{space 4} .4231099{col 81}{space 3} 5.253101
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1978689{col 40}{space 2} .7079936{col 51}{space 1}   -0.28{col 60}{space 3}0.780{col 68}{space 4}-1.585511{col 81}{space 3} 1.189773
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-3.217509{col 40}{space 2} 1.452373{col 51}{space 1}   -2.22{col 60}{space 3}0.027{col 68}{space 4}-6.064108{col 81}{space 3}-.3709109
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.904082{col 40}{space 2} .7980344{col 51}{space 1}   -3.64{col 60}{space 3}0.000{col 68}{space 4}-4.468201{col 81}{space 3}-1.339963
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  -1.8561{col 40}{space 2} 1.192821{col 51}{space 1}   -1.56{col 60}{space 3}0.120{col 68}{space 4}-4.193987{col 81}{space 3} .4817869
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.411601{col 40}{space 2} .9980123{col 51}{space 1}    1.41{col 60}{space 3}0.157{col 68}{space 4}-.5444676{col 81}{space 3} 3.367669
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0014621{col 40}{space 2} .0926007{col 51}{space 1}   -0.02{col 60}{space 3}0.987{col 68}{space 4}-.1829561{col 81}{space 3} .1800319
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0086518{col 40}{space 2} .1394815{col 51}{space 1}   -0.06{col 60}{space 3}0.951{col 68}{space 4}-.2820305{col 81}{space 3} .2647268
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.7302625{col 40}{space 2} .9925118{col 51}{space 1}   -0.74{col 60}{space 3}0.462{col 68}{space 4} -2.67555{col 81}{space 3} 1.215025
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.029296{col 40}{space 2} 1.103532{col 51}{space 1}    1.84{col 60}{space 3}0.066{col 68}{space 4}-.1335871{col 81}{space 3} 4.192179
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 2.040719{col 40}{space 2} 1.282893{col 51}{space 1}    1.59{col 60}{space 3}0.112{col 68}{space 4}-.4737057{col 81}{space 3} 4.555143
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-113.3223{col 40}{space 2} 157.7213{col 51}{space 1}   -0.72{col 60}{space 3}0.472{col 68}{space 4}-422.4504{col 81}{space 3} 195.8057
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.4272187{col 40}{space 2} .7996051{col 51}{space 1}   -0.53{col 60}{space 3}0.593{col 68}{space 4}-1.994416{col 81}{space 3} 1.139979
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1902267{col 40}{space 2} .1298206{col 51}{space 1}    1.47{col 60}{space 3}0.143{col 68}{space 4} -.064217{col 81}{space 3} .4446703
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0940745{col 40}{space 2} .0966378{col 51}{space 1}   -0.97{col 60}{space 3}0.330{col 68}{space 4}-.2834811{col 81}{space 3} .0953321
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0400545{col 40}{space 2} .0720068{col 51}{space 1}   -0.56{col 60}{space 3}0.578{col 68}{space 4}-.1811852{col 81}{space 3} .1010762
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .1896634{col 40}{space 2} .8656791{col 51}{space 1}    0.22{col 60}{space 3}0.827{col 68}{space 4}-1.507036{col 81}{space 3} 1.886363
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2135142{col 40}{space 2} .1517154{col 51}{space 1}    1.41{col 60}{space 3}0.159{col 68}{space 4}-.0838426{col 81}{space 3}  .510871
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} -.234747{col 40}{space 2} .5530657{col 51}{space 1}   -0.42{col 60}{space 3}0.671{col 68}{space 4}-1.318736{col 81}{space 3} .8492419
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-10.41582{col 40}{space 2} 4.597294{col 51}{space 1}   -2.27{col 60}{space 3}0.023{col 68}{space 4}-19.42635{col 81}{space 3} -1.40529
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat senderkaopen targetkaopen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -4148.68}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3513.6955}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3379.2646}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3376.3198}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3376.3109}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3376.3109}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2166.36
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3376.3109{txt}{col 51}Pseudo R2{col 67}= {res}    0.4373

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}senderkaopen {c |}{col 17}{res}{space 2} .3212916{col 29}{space 2}  .077146{col 40}{space 1}    4.16{col 49}{space 3}0.000{col 57}{space 4} .1700882{col 70}{space 3} .4724949
{txt}{space 3}targetkaopen {c |}{col 17}{res}{space 2} .0861313{col 29}{space 2} .0601217{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.0317051{col 70}{space 3} .2039678
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6608072{col 29}{space 2} .4030839{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4}-.1292228{col 70}{space 3} 1.450837
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.313823{col 29}{space 2} .5246274{col 40}{space 1}    2.50{col 49}{space 3}0.012{col 57}{space 4} .2855724{col 70}{space 3} 2.342074
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3630521{col 29}{space 2} .1598569{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4}-.6763658{col 70}{space 3}-.0497384
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.6447928{col 29}{space 2} .3288161{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.289261{col 70}{space 3} -.000325
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.861878{col 29}{space 2} .3724535{col 40}{space 1}    7.68{col 49}{space 3}0.000{col 57}{space 4} 2.131883{col 70}{space 3} 3.591873
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 15.46779{col 29}{space 2} 6.479127{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4}  2.76893{col 70}{space 3} 28.16664
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.639361{col 29}{space 2} .3618902{col 40}{space 1}   12.82{col 49}{space 3}0.000{col 57}{space 4} 3.930069{col 70}{space 3} 5.348653
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  .013324{col 29}{space 2} .0190955{col 40}{space 1}    0.70{col 49}{space 3}0.485{col 57}{space 4}-.0241025{col 70}{space 3} .0507506
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0529681{col 29}{space 2} .0204411{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .0129044{col 70}{space 3} .0930318
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0787657{col 29}{space 2} .0265508{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4}-.1308043{col 70}{space 3} -.026727
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2552044{col 29}{space 2} .2132025{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-.1626648{col 70}{space 3} .6730736
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0941627{col 29}{space 2} .0437002{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4}-.1798136{col 70}{space 3}-.0085119
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 3.004713{col 29}{space 2} .5231662{col 40}{space 1}    5.74{col 49}{space 3}0.000{col 57}{space 4} 1.979326{col 70}{space 3}   4.0301
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5113283{col 29}{space 2} .0599595{col 40}{space 1}   -8.53{col 49}{space 3}0.000{col 57}{space 4}-.6288468{col 70}{space 3}-.3938099
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0310766{col 29}{space 2} .0042689{col 40}{space 1}    7.28{col 49}{space 3}0.000{col 57}{space 4} .0227096{col 70}{space 3} .0394435
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005822{col 29}{space 2} .0000908{col 40}{space 1}   -6.41{col 49}{space 3}0.000{col 57}{space 4}-.0007601{col 70}{space 3}-.0004043
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-16.31134{col 29}{space 2} 1.282716{col 40}{space 1}  -12.72{col 49}{space 3}0.000{col 57}{space 4}-18.82542{col 70}{space 3}-13.79727
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp senderkaopen targetkaopen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-282.01611}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.71158}  
Iteration 2:{space 3}log pseudolikelihood = {res:-193.14041}  
Iteration 3:{space 3}log pseudolikelihood = {res:-192.81799}  
Iteration 4:{space 3}log pseudolikelihood = {res:-192.81687}  
Iteration 5:{space 3}log pseudolikelihood = {res:-192.81687}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     79.61
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-192.81687{txt}{col 51}Pseudo R2{col 67}= {res}    0.3163

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}senderkaopen {c |}{col 28}{res}{space 2}-.1222984{col 40}{space 2} .1595008{col 51}{space 1}   -0.77{col 60}{space 3}0.443{col 68}{space 4}-.4349143{col 81}{space 3} .1903174
{txt}{space 14}targetkaopen {c |}{col 28}{res}{space 2} .0533919{col 40}{space 2} .1636506{col 51}{space 1}    0.33{col 60}{space 3}0.744{col 68}{space 4}-.2673573{col 81}{space 3} .3741411
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.003163{col 40}{space 2} 1.279324{col 51}{space 1}   -0.78{col 60}{space 3}0.433{col 68}{space 4}-3.510593{col 81}{space 3} 1.504267
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.6000507{col 40}{space 2} .6193364{col 51}{space 1}   -0.97{col 60}{space 3}0.333{col 68}{space 4}-1.813928{col 81}{space 3} .6138265
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 3.097229{col 40}{space 2} .7734152{col 51}{space 1}    4.00{col 60}{space 3}0.000{col 68}{space 4} 1.581363{col 81}{space 3} 4.613095
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .7750103{col 40}{space 2}   .69495{col 51}{space 1}    1.12{col 60}{space 3}0.265{col 68}{space 4}-.5870666{col 81}{space 3} 2.137087
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.303002{col 40}{space 2} .9857691{col 51}{space 1}    3.35{col 60}{space 3}0.001{col 68}{space 4}  1.37093{col 81}{space 3} 5.235074
{txt}{space 24}5  {c |}{col 28}{res}{space 2} -1.84314{col 40}{space 2} 1.389899{col 51}{space 1}   -1.33{col 60}{space 3}0.185{col 68}{space 4}-4.567292{col 81}{space 3} .8810124
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.1045067{col 40}{space 2} .0992037{col 51}{space 1}   -1.05{col 60}{space 3}0.292{col 68}{space 4}-.2989423{col 81}{space 3}  .089929
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0673694{col 40}{space 2} .0933819{col 51}{space 1}    0.72{col 60}{space 3}0.471{col 68}{space 4}-.1156556{col 81}{space 3} .2503945
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.0070535{col 40}{space 2} .5240059{col 51}{space 1}   -0.01{col 60}{space 3}0.989{col 68}{space 4}-1.034086{col 81}{space 3} 1.019979
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.743719{col 40}{space 2} 1.003012{col 51}{space 1}    1.74{col 60}{space 3}0.082{col 68}{space 4}-.2221488{col 81}{space 3} 3.709586
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .7718575{col 40}{space 2} .8647237{col 51}{space 1}    0.89{col 60}{space 3}0.372{col 68}{space 4}-.9229698{col 81}{space 3} 2.466685
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-55.60319{col 40}{space 2} 32.95016{col 51}{space 1}   -1.69{col 60}{space 3}0.092{col 68}{space 4}-120.1843{col 81}{space 3} 8.977935
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.394042{col 40}{space 2} .5354979{col 51}{space 1}   -2.60{col 60}{space 3}0.009{col 68}{space 4}-2.443599{col 81}{space 3}-.3444856
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1358934{col 40}{space 2} .0634185{col 51}{space 1}   -2.14{col 60}{space 3}0.032{col 68}{space 4}-.2601913{col 81}{space 3}-.0115955
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0355617{col 40}{space 2}  .070692{col 51}{space 1}   -0.50{col 60}{space 3}0.615{col 68}{space 4}-.1741154{col 81}{space 3}  .102992
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1461759{col 40}{space 2} .0594971{col 51}{space 1}   -2.46{col 60}{space 3}0.014{col 68}{space 4} -.262788{col 81}{space 3}-.0295637
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.5625619{col 40}{space 2} .4750926{col 51}{space 1}   -1.18{col 60}{space 3}0.236{col 68}{space 4}-1.493726{col 81}{space 3} .3686026
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2392281{col 40}{space 2} .1158635{col 51}{space 1}    2.06{col 60}{space 3}0.039{col 68}{space 4} .0121397{col 81}{space 3} .4663164
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} -.170523{col 40}{space 2} .5627085{col 51}{space 1}   -0.30{col 60}{space 3}0.762{col 68}{space 4}-1.273411{col 81}{space 3} .9323653
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.673698{col 40}{space 2} 2.883648{col 51}{space 1}   -0.93{col 60}{space 3}0.354{col 68}{space 4}-8.325544{col 81}{space 3} 2.978148
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table12 , word label title(Table 12: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table12.rtf"'"':Table12.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table12.txt", label"':seeout}

{com}. 
. 
. 
. ******************** Tables 13-17 Executive and Government Threat Models*************************
. ****Table 13****
. *Model 1*
. logit ExecThreat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: MyDyadWNeoDummy != 0 predicts success perfectly
      MyDyadWNeoDummy dropped and 2 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:  -89.9726}  
Iteration 1:{space 3}log pseudolikelihood = {res:-71.094161}  
Iteration 2:{space 3}log pseudolikelihood = {res:-69.822956}  
Iteration 3:{space 3}log pseudolikelihood = {res:-69.612016}  
Iteration 4:{space 3}log pseudolikelihood = {res:-68.121799}  
Iteration 5:{space 3}log pseudolikelihood = {res:-66.843451}  
Iteration 6:{space 3}log pseudolikelihood = {res:-66.757775}  
Iteration 7:{space 3}log pseudolikelihood = {res:-66.748811}  
Iteration 8:{space 3}log pseudolikelihood = {res:-66.748652}  
Iteration 9:{space 3}log pseudolikelihood = {res:-66.748652}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       136
{txt}{col 51}Wald chi2({res}26{txt}){col 67}= {res}     46.86
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0073
{txt}Log pseudolikelihood = {res}-66.748652{txt}{col 51}Pseudo R2{col 67}= {res}    0.2581

{txt}{ralign 92:(Std. Err. adjusted for {res:105} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2} 2.332156{col 40}{space 2}  3.28426{col 51}{space 1}    0.71{col 60}{space 3}0.478{col 68}{space 4}-4.104875{col 81}{space 3} 8.769187
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2}  2.11231{col 40}{space 2} 3.527733{col 51}{space 1}    0.60{col 60}{space 3}0.549{col 68}{space 4} -4.80192{col 81}{space 3} 9.026539
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2}-4.396185{col 40}{space 2} 6.797819{col 51}{space 1}   -0.65{col 60}{space 3}0.518{col 68}{space 4}-17.71966{col 81}{space 3} 8.927295
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 1.079203{col 40}{space 2} .9326397{col 51}{space 1}    1.16{col 60}{space 3}0.247{col 68}{space 4}-.7487366{col 81}{space 3} 2.907144
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1086938{col 40}{space 2} .6392428{col 51}{space 1}   -0.17{col 60}{space 3}0.865{col 68}{space 4}-1.361587{col 81}{space 3} 1.144199
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.7701511{col 40}{space 2} 1.137886{col 51}{space 1}   -0.68{col 60}{space 3}0.499{col 68}{space 4}-3.000366{col 81}{space 3} 1.460064
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.724153{col 40}{space 2} 1.929951{col 51}{space 1}   -1.93{col 60}{space 3}0.054{col 68}{space 4}-7.506788{col 81}{space 3} .0584821
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-.4417838{col 40}{space 2} 1.109296{col 51}{space 1}   -0.40{col 60}{space 3}0.690{col 68}{space 4}-2.615964{col 81}{space 3} 1.732396
{txt}{space 24}5  {c |}{col 28}{res}{space 2} .3876363{col 40}{space 2} .8762528{col 51}{space 1}    0.44{col 60}{space 3}0.658{col 68}{space 4}-1.329788{col 81}{space 3}  2.10506
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0008993{col 40}{space 2} .0978168{col 51}{space 1}    0.01{col 60}{space 3}0.993{col 68}{space 4}-.1908181{col 81}{space 3} .1926167
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} .1319167{col 40}{space 2} .0860785{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4} -.036794{col 81}{space 3} .3006275
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .1337347{col 40}{space 2} .9506263{col 51}{space 1}    0.14{col 60}{space 3}0.888{col 68}{space 4}-1.729459{col 81}{space 3} 1.996928
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .2668691{col 40}{space 2} .8468141{col 51}{space 1}    0.32{col 60}{space 3}0.753{col 68}{space 4}-1.392856{col 81}{space 3} 1.926594
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.9104049{col 40}{space 2} .8685393{col 51}{space 1}   -1.05{col 60}{space 3}0.295{col 68}{space 4}-2.612711{col 81}{space 3} .7919008
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .9118362{col 40}{space 2} .6537924{col 51}{space 1}    1.39{col 60}{space 3}0.163{col 68}{space 4}-.3695734{col 81}{space 3} 2.193246
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}  338.851{col 40}{space 2} 238.8003{col 51}{space 1}    1.42{col 60}{space 3}0.156{col 68}{space 4} -129.189{col 81}{space 3}  806.891
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .5098118{col 40}{space 2} .6176467{col 51}{space 1}    0.83{col 60}{space 3}0.409{col 68}{space 4}-.7007535{col 81}{space 3} 1.720377
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0059225{col 40}{space 2} .0480505{col 51}{space 1}   -0.12{col 60}{space 3}0.902{col 68}{space 4}-.1000998{col 81}{space 3} .0882548
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .1090292{col 40}{space 2} .0506386{col 51}{space 1}    2.15{col 60}{space 3}0.031{col 68}{space 4} .0097793{col 81}{space 3} .2082791
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0322023{col 40}{space 2}   .07213{col 51}{space 1}   -0.45{col 60}{space 3}0.655{col 68}{space 4}-.1735744{col 81}{space 3} .1091698
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .7068575{col 40}{space 2} .5780434{col 51}{space 1}    1.22{col 60}{space 3}0.221{col 68}{space 4}-.4260868{col 81}{space 3} 1.839802
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2049072{col 40}{space 2} .1059272{col 51}{space 1}    1.93{col 60}{space 3}0.053{col 68}{space 4}-.0027063{col 81}{space 3} .4125207
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .4548804{col 40}{space 2}  1.22389{col 51}{space 1}    0.37{col 60}{space 3}0.710{col 68}{space 4}  -1.9439{col 81}{space 3}  2.85366
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-.9107831{col 40}{space 2} .8031317{col 51}{space 1}   -1.13{col 60}{space 3}0.257{col 68}{space 4}-2.484892{col 81}{space 3}  .663326
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2} .2798799{col 40}{space 2} .2052079{col 51}{space 1}    1.36{col 60}{space 3}0.173{col 68}{space 4}-.1223202{col 81}{space 3} .6820801
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2}-.0215098{col 40}{space 2} .0125998{col 51}{space 1}   -1.71{col 60}{space 3}0.088{col 68}{space 4} -.046205{col 81}{space 3} .0031854
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-4.878212{col 40}{space 2} 2.015366{col 51}{space 1}   -2.42{col 60}{space 3}0.015{col 68}{space 4}-8.828256{col 81}{space 3}-.9281686
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 5 failures and 0 successes completely determined.{p_end}

{com}. outreg2 using Table13 , word label title(Table 13: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table13.rtf"'"':Table13.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table13.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table13 , word label title(Table 13: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table13.rtf"'"':Table13.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table13.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: MyDyadWNeoDummy != 0 predicts failure perfectly
      MyDyadWNeoDummy dropped and 2 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-64.891316}  
Iteration 1:{space 3}log pseudolikelihood = {res:-41.379345}  
Iteration 2:{space 3}log pseudolikelihood = {res:-30.227736}  
Iteration 3:{space 3}log pseudolikelihood = {res:-28.009317}  
Iteration 4:{space 3}log pseudolikelihood = {res:-27.674397}  
Iteration 5:{space 3}log pseudolikelihood = {res:-27.541777}  
Iteration 6:{space 3}log pseudolikelihood = {res: -27.51212}  
Iteration 7:{space 3}log pseudolikelihood = {res:-27.510115}  
Iteration 8:{space 3}log pseudolikelihood = {res:-27.509777}  
Iteration 9:{space 3}log pseudolikelihood = {res:-27.509745}  
Iteration 10:{space 2}log pseudolikelihood = {res:-27.509744}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       136
{txt}{col 51}Wald chi2({res}26{txt}){col 67}= {res}    120.30
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-27.509744{txt}{col 51}Pseudo R2{col 67}= {res}    0.5761

{txt}{ralign 92:(Std. Err. adjusted for {res:105} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2}-5.163725{col 40}{space 2} 5.582327{col 51}{space 1}   -0.93{col 60}{space 3}0.355{col 68}{space 4}-16.10488{col 81}{space 3} 5.777434
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2}-7.754945{col 40}{space 2} 6.285763{col 51}{space 1}   -1.23{col 60}{space 3}0.217{col 68}{space 4}-20.07482{col 81}{space 3} 4.564925
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2} 20.74394{col 40}{space 2} 13.55279{col 51}{space 1}    1.53{col 60}{space 3}0.126{col 68}{space 4} -5.81905{col 81}{space 3} 47.30692
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.326072{col 40}{space 2} 2.929641{col 51}{space 1}    0.79{col 60}{space 3}0.427{col 68}{space 4} -3.41592{col 81}{space 3} 8.068064
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.9615956{col 40}{space 2} 1.177488{col 51}{space 1}   -0.82{col 60}{space 3}0.414{col 68}{space 4}-3.269429{col 81}{space 3} 1.346238
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} .4403312{col 40}{space 2} 1.373957{col 51}{space 1}    0.32{col 60}{space 3}0.749{col 68}{space 4}-2.252575{col 81}{space 3} 3.133237
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 3.771176{col 40}{space 2} .9833547{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} 1.843836{col 81}{space 3} 5.698516
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 2.335766{col 40}{space 2} 1.904526{col 51}{space 1}    1.23{col 60}{space 3}0.220{col 68}{space 4}-1.397036{col 81}{space 3} 6.068568
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.764318{col 40}{space 2} 2.186395{col 51}{space 1}    0.81{col 60}{space 3}0.420{col 68}{space 4}-2.520938{col 81}{space 3} 6.049573
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .4426577{col 40}{space 2} .2587679{col 51}{space 1}    1.71{col 60}{space 3}0.087{col 68}{space 4} -.064518{col 81}{space 3} .9498334
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} .0986162{col 40}{space 2} .1711295{col 51}{space 1}    0.58{col 60}{space 3}0.564{col 68}{space 4}-.2367914{col 81}{space 3} .4340238
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.0818508{col 40}{space 2}  .954383{col 51}{space 1}   -0.09{col 60}{space 3}0.932{col 68}{space 4}-1.952407{col 81}{space 3} 1.788706
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-2.723163{col 40}{space 2}   1.1513{col 51}{space 1}   -2.37{col 60}{space 3}0.018{col 68}{space 4}-4.979669{col 81}{space 3} -.466656
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 13.29644{col 40}{space 2} 3.959903{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} 5.535171{col 81}{space 3} 21.05771
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-2.596598{col 40}{space 2} 1.247428{col 51}{space 1}   -2.08{col 60}{space 3}0.037{col 68}{space 4}-5.041512{col 81}{space 3}-.1516835
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-203.7233{col 40}{space 2} 199.1013{col 51}{space 1}   -1.02{col 60}{space 3}0.306{col 68}{space 4}-593.9546{col 81}{space 3} 186.5081
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.342937{col 40}{space 2} 1.386732{col 51}{space 1}    0.97{col 60}{space 3}0.333{col 68}{space 4}-1.375008{col 81}{space 3} 4.060882
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.4979775{col 40}{space 2} .1908563{col 51}{space 1}   -2.61{col 60}{space 3}0.009{col 68}{space 4}-.8720489{col 81}{space 3}-.1239061
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.3460286{col 40}{space 2} .0999625{col 51}{space 1}   -3.46{col 60}{space 3}0.001{col 68}{space 4}-.5419514{col 81}{space 3}-.1501058
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.2835604{col 40}{space 2} .1025722{col 51}{space 1}   -2.76{col 60}{space 3}0.006{col 68}{space 4}-.4845981{col 81}{space 3}-.0825226
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.5294936{col 40}{space 2} 1.425071{col 51}{space 1}   -0.37{col 60}{space 3}0.710{col 68}{space 4}-3.322581{col 81}{space 3} 2.263594
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0542954{col 40}{space 2} .2376771{col 51}{space 1}    0.23{col 60}{space 3}0.819{col 68}{space 4}-.4115432{col 81}{space 3} .5201339
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} 1.254432{col 40}{space 2}  1.14385{col 51}{space 1}    1.10{col 60}{space 3}0.273{col 68}{space 4}-.9874728{col 81}{space 3} 3.496337
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2} 1.391433{col 40}{space 2} .6904323{col 51}{space 1}    2.02{col 60}{space 3}0.044{col 68}{space 4} .0382108{col 81}{space 3} 2.744656
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2}  -.40081{col 40}{space 2} .1601611{col 51}{space 1}   -2.50{col 60}{space 3}0.012{col 68}{space 4}-.7147199{col 81}{space 3}-.0869001
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2} .0133911{col 40}{space 2} .0054802{col 51}{space 1}    2.44{col 60}{space 3}0.015{col 68}{space 4} .0026501{col 81}{space 3} .0241321
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.3112126{col 40}{space 2} 3.510763{col 51}{space 1}   -0.09{col 60}{space 3}0.929{col 68}{space 4}-7.192181{col 81}{space 3} 6.569756
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 14 failures and 0 successes completely determined.{p_end}

{com}. outreg2 using Table13 , word label title(Table 13: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table13.rtf"'"':Table13.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table13.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table13 , word label title(Table 13: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table13.rtf"'"':Table13.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table13.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 14****
. *Model 1*
. logit ExecThreat sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-95.761153}  
Iteration 1:{space 3}log pseudolikelihood = {res:-77.439897}  
Iteration 2:{space 3}log pseudolikelihood = {res:-76.711517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-76.680858}  
Iteration 4:{space 3}log pseudolikelihood = {res:-76.679915}  
Iteration 5:{space 3}log pseudolikelihood = {res:-76.679913}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       144
{txt}{col 51}Wald chi2({res}25{txt}){col 67}= {res}     34.45
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0986
{txt}Log pseudolikelihood = {res}-76.679913{txt}{col 51}Pseudo R2{col 67}= {res}    0.1993

{txt}{ralign 92:(Std. Err. adjusted for {res:113} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2} .1747007{col 40}{space 2} .4938779{col 51}{space 1}    0.35{col 60}{space 3}0.724{col 68}{space 4}-.7932823{col 81}{space 3} 1.142684
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2} .4691687{col 40}{space 2} .4403724{col 51}{space 1}    1.07{col 60}{space 3}0.287{col 68}{space 4}-.3939453{col 81}{space 3} 1.332283
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .7915794{col 40}{space 2}   .82836{col 51}{space 1}    0.96{col 60}{space 3}0.339{col 68}{space 4}-.8319764{col 81}{space 3} 2.415135
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1781081{col 40}{space 2} .5889587{col 51}{space 1}   -0.30{col 60}{space 3}0.762{col 68}{space 4}-1.332446{col 81}{space 3} .9762298
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.4364544{col 40}{space 2} 1.087142{col 51}{space 1}   -0.40{col 60}{space 3}0.688{col 68}{space 4}-2.567213{col 81}{space 3} 1.694304
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.174311{col 40}{space 2} 1.350478{col 51}{space 1}   -2.35{col 60}{space 3}0.019{col 68}{space 4}  -5.8212{col 81}{space 3}-.5274228
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-.7817962{col 40}{space 2}  .980673{col 51}{space 1}   -0.80{col 60}{space 3}0.425{col 68}{space 4} -2.70388{col 81}{space 3} 1.140288
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  .514845{col 40}{space 2} .6922702{col 51}{space 1}    0.74{col 60}{space 3}0.457{col 68}{space 4}-.8419796{col 81}{space 3}  1.87167
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0966666{col 40}{space 2} .0895359{col 51}{space 1}    1.08{col 60}{space 3}0.280{col 68}{space 4}-.0788205{col 81}{space 3} .2721536
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} .1379388{col 40}{space 2} .0844329{col 51}{space 1}    1.63{col 60}{space 3}0.102{col 68}{space 4}-.0275465{col 81}{space 3} .3034242
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .2188319{col 40}{space 2} .9687825{col 51}{space 1}    0.23{col 60}{space 3}0.821{col 68}{space 4}-1.679947{col 81}{space 3} 2.117611
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}  .240842{col 40}{space 2} .6864853{col 51}{space 1}    0.35{col 60}{space 3}0.726{col 68}{space 4}-1.104645{col 81}{space 3} 1.586328
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.1184378{col 40}{space 2} .8007205{col 51}{space 1}   -0.15{col 60}{space 3}0.882{col 68}{space 4}-1.687821{col 81}{space 3} 1.450946
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .9295219{col 40}{space 2} .7039834{col 51}{space 1}    1.32{col 60}{space 3}0.187{col 68}{space 4}-.4502603{col 81}{space 3} 2.309304
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 22.49478{col 40}{space 2} 56.77158{col 51}{space 1}    0.40{col 60}{space 3}0.692{col 68}{space 4}-88.77546{col 81}{space 3}  133.765
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.0721156{col 40}{space 2} .6245236{col 51}{space 1}   -0.12{col 60}{space 3}0.908{col 68}{space 4}-1.296159{col 81}{space 3} 1.151928
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0217321{col 40}{space 2}   .05314{col 51}{space 1}   -0.41{col 60}{space 3}0.683{col 68}{space 4}-.1258845{col 81}{space 3} .0824203
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0797379{col 40}{space 2} .0552726{col 51}{space 1}    1.44{col 60}{space 3}0.149{col 68}{space 4}-.0285944{col 81}{space 3} .1880701
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0421963{col 40}{space 2} .0685433{col 51}{space 1}   -0.62{col 60}{space 3}0.538{col 68}{space 4}-.1765387{col 81}{space 3} .0921462
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .5674258{col 40}{space 2} .5889707{col 51}{space 1}    0.96{col 60}{space 3}0.335{col 68}{space 4}-.5869355{col 81}{space 3} 1.721787
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1495251{col 40}{space 2} .1029621{col 51}{space 1}    1.45{col 60}{space 3}0.146{col 68}{space 4}-.0522769{col 81}{space 3} .3513271
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} 1.380119{col 40}{space 2} .9854789{col 51}{space 1}    1.40{col 60}{space 3}0.161{col 68}{space 4}-.5513847{col 81}{space 3} 3.311622
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2} .0756039{col 40}{space 2} .2881605{col 51}{space 1}    0.26{col 60}{space 3}0.793{col 68}{space 4}-.4891802{col 81}{space 3}  .640388
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2}-.0292032{col 40}{space 2} .0420955{col 51}{space 1}   -0.69{col 60}{space 3}0.488{col 68}{space 4}-.1117087{col 81}{space 3} .0533024
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2} .0008917{col 40}{space 2} .0013942{col 51}{space 1}    0.64{col 60}{space 3}0.522{col 68}{space 4} -.001841{col 81}{space 3} .0036243
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-5.387468{col 40}{space 2} 2.333723{col 51}{space 1}   -2.31{col 60}{space 3}0.021{col 68}{space 4}-9.961481{col 81}{space 3}-.8134562
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table14 , word label title(Table 14: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table14.rtf"'"':Table14.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table14.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table14 , word label title(Table 14: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table14.rtf"'"':Table14.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table14.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-68.001819}  
Iteration 1:{space 3}log pseudolikelihood = {res:-44.482377}  
Iteration 2:{space 3}log pseudolikelihood = {res:-38.030792}  
Iteration 3:{space 3}log pseudolikelihood = {res:-36.946022}  
Iteration 4:{space 3}log pseudolikelihood = {res:-36.797444}  
Iteration 5:{space 3}log pseudolikelihood = {res:-36.778356}  
Iteration 6:{space 3}log pseudolikelihood = {res:-36.775042}  
Iteration 7:{space 3}log pseudolikelihood = {res:-36.773197}  
Iteration 8:{space 3}log pseudolikelihood = {res:-36.768623}  
Iteration 9:{space 3}log pseudolikelihood = {res:-36.766864}  
Iteration 10:{space 2}log pseudolikelihood = {res:-36.766768}  
convergence not achieved
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       144
{txt}{col 51}Wald chi2({res}25{txt}){col 67}= {res}     60.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-36.766768{txt}{col 51}Pseudo R2{col 67}= {res}    0.4593

{txt}{ralign 92:(Std. Err. adjusted for {res:113} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2}-.0567637{col 40}{space 2} .9028443{col 51}{space 1}   -0.06{col 60}{space 3}0.950{col 68}{space 4}-1.826306{col 81}{space 3} 1.712779
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2} 1.143393{col 40}{space 2} .8417615{col 51}{space 1}    1.36{col 60}{space 3}0.174{col 68}{space 4}-.5064288{col 81}{space 3} 2.793216
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .5076638{col 40}{space 2} 1.565338{col 51}{space 1}    0.32{col 60}{space 3}0.746{col 68}{space 4}-2.560342{col 81}{space 3} 3.575669
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .3797684{col 40}{space 2} .8215115{col 51}{space 1}    0.46{col 60}{space 3}0.644{col 68}{space 4}-1.230365{col 81}{space 3} 1.989901
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} .1720019{col 40}{space 2} 1.432197{col 51}{space 1}    0.12{col 60}{space 3}0.904{col 68}{space 4}-2.635052{col 81}{space 3} 2.979056
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 2.931577{col 40}{space 2} 1.009415{col 51}{space 1}    2.90{col 60}{space 3}0.004{col 68}{space 4} .9531603{col 81}{space 3} 4.909993
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 2.920203{col 40}{space 2} 1.437375{col 51}{space 1}    2.03{col 60}{space 3}0.042{col 68}{space 4}  .102999{col 81}{space 3} 5.737407
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.3723308{col 40}{space 2} 1.160754{col 51}{space 1}   -0.32{col 60}{space 3}0.748{col 68}{space 4}-2.647367{col 81}{space 3} 1.902705
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .1211292{col 40}{space 2} .1032313{col 51}{space 1}    1.17{col 60}{space 3}0.241{col 68}{space 4}-.0812005{col 81}{space 3}  .323459
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} .0383229{col 40}{space 2} .1469223{col 51}{space 1}    0.26{col 60}{space 3}0.794{col 68}{space 4}-.2496397{col 81}{space 3} .3262854
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .1854291{col 40}{space 2} .8670533{col 51}{space 1}    0.21{col 60}{space 3}0.831{col 68}{space 4}-1.513964{col 81}{space 3} 1.884822
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.7833783{col 40}{space 2} 1.224528{col 51}{space 1}   -0.64{col 60}{space 3}0.522{col 68}{space 4}-3.183408{col 81}{space 3} 1.616652
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 8.296629{col 40}{space 2} 2.162619{col 51}{space 1}    3.84{col 60}{space 3}0.000{col 68}{space 4} 4.057973{col 81}{space 3} 12.53528
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} -2.00923{col 40}{space 2} .9429767{col 51}{space 1}   -2.13{col 60}{space 3}0.033{col 68}{space 4} -3.85743{col 81}{space 3}-.1610295
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-3.633594{col 40}{space 2} 212.2493{col 51}{space 1}   -0.02{col 60}{space 3}0.986{col 68}{space 4}-419.6345{col 81}{space 3} 412.3673
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .6979304{col 40}{space 2} 1.382508{col 51}{space 1}    0.50{col 60}{space 3}0.614{col 68}{space 4}-2.011735{col 81}{space 3} 3.407596
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.2891031{col 40}{space 2} .0978511{col 51}{space 1}   -2.95{col 60}{space 3}0.003{col 68}{space 4}-.4808878{col 81}{space 3}-.0973183
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} -.334775{col 40}{space 2} .0948243{col 51}{space 1}   -3.53{col 60}{space 3}0.000{col 68}{space 4}-.5206271{col 81}{space 3}-.1489229
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1685176{col 40}{space 2} .0906803{col 51}{space 1}   -1.86{col 60}{space 3}0.063{col 68}{space 4}-.3462478{col 81}{space 3} .0092125
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.3567636{col 40}{space 2} 1.083902{col 51}{space 1}   -0.33{col 60}{space 3}0.742{col 68}{space 4}-2.481172{col 81}{space 3} 1.767645
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0670971{col 40}{space 2} .2320314{col 51}{space 1}    0.29{col 60}{space 3}0.772{col 68}{space 4} -.387676{col 81}{space 3} .5218702
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .5586851{col 40}{space 2} 1.255117{col 51}{space 1}    0.45{col 60}{space 3}0.656{col 68}{space 4}  -1.9013{col 81}{space 3}  3.01867
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2} .2020718{col 40}{space 2} 1.430424{col 51}{space 1}    0.14{col 60}{space 3}0.888{col 68}{space 4}-2.601507{col 81}{space 3} 3.005651
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2}-.0594402{col 40}{space 2} .5882147{col 51}{space 1}   -0.10{col 60}{space 3}0.920{col 68}{space 4} -1.21232{col 81}{space 3} 1.093439
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.0030093{col 40}{space 2} .0553489{col 51}{space 1}   -0.05{col 60}{space 3}0.957{col 68}{space 4}-.1114912{col 81}{space 3} .1054725
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  2.03031{col 40}{space 2} 2.036518{col 51}{space 1}    1.00{col 60}{space 3}0.319{col 68}{space 4}-1.961193{col 81}{space 3} 6.021812
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 18 failures and 0 successes completely determined.{p_end}
Warning: convergence not achieved

{com}. outreg2 using Table14 , word label title(Table 14: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table14.rtf"'"':Table14.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table14.txt", label"':seeout}

{com}. 
. *Model 15*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table14 , word label title(Table 14: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table14.rtf"'"':Table14.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table14.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 15****
. *Model 1*
. logit ExecThreat SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: MajorSenderCost != 0 predicts failure perfectly
      MajorSenderCost dropped and 2 obs not used

note: 3.n_threatenedtargetinterest != 0 predicts failure perfectly
      3.n_threatenedtargetinterest dropped and 12 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

note: cwongo != 0 predicts success perfectly
      cwongo dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-39.500617}  
Iteration 1:{space 3}log pseudolikelihood = {res:-26.289928}  
Iteration 2:{space 3}log pseudolikelihood = {res:-25.750273}  
Iteration 3:{space 3}log pseudolikelihood = {res:-25.718362}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -25.7182}  
Iteration 5:{space 3}log pseudolikelihood = {res:  -25.7182}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}        57
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     28.87
{txt}{col 51}Prob > chi2{col 67}= {res}    0.1847
{txt}Log pseudolikelihood = {res}  -25.7182{txt}{col 51}Pseudo R2{col 67}= {res}    0.3489

{txt}{ralign 92:(Std. Err. adjusted for {res:45} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2}-.9105125{col 40}{space 2} .9075081{col 51}{space 1}   -1.00{col 60}{space 3}0.316{col 68}{space 4}-2.689196{col 81}{space 3} .8681706
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2}-2.834281{col 40}{space 2} 2.213699{col 51}{space 1}   -1.28{col 60}{space 3}0.200{col 68}{space 4}-7.173052{col 81}{space 3}  1.50449
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} 1.583237{col 40}{space 2} 1.000595{col 51}{space 1}    1.58{col 60}{space 3}0.114{col 68}{space 4}-.3778936{col 81}{space 3} 3.544367
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-1.237703{col 40}{space 2} 1.415702{col 51}{space 1}   -0.87{col 60}{space 3}0.382{col 68}{space 4}-4.012428{col 81}{space 3} 1.537023
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.5397142{col 40}{space 2} 1.475931{col 51}{space 1}   -0.37{col 60}{space 3}0.715{col 68}{space 4}-3.432486{col 81}{space 3} 2.353058
{txt}{space 24}3  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 24}4  {c |}{col 28}{res}{space 2} .8325762{col 40}{space 2} 1.965497{col 51}{space 1}    0.42{col 60}{space 3}0.672{col 68}{space 4}-3.019727{col 81}{space 3} 4.684879
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 2.771962{col 40}{space 2} 2.020946{col 51}{space 1}    1.37{col 60}{space 3}0.170{col 68}{space 4} -1.18902{col 81}{space 3} 6.732944
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .1935423{col 40}{space 2} .1778494{col 51}{space 1}    1.09{col 60}{space 3}0.276{col 68}{space 4} -.155036{col 81}{space 3} .5421207
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2}  .178019{col 40}{space 2} .1903842{col 51}{space 1}    0.94{col 60}{space 3}0.350{col 68}{space 4}-.1951273{col 81}{space 3} .5511652
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-1.539496{col 40}{space 2} 1.825344{col 51}{space 1}   -0.84{col 60}{space 3}0.399{col 68}{space 4}-5.117105{col 81}{space 3} 2.038113
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} 1.396666{col 40}{space 2} 1.379653{col 51}{space 1}    1.01{col 60}{space 3}0.311{col 68}{space 4}-1.307404{col 81}{space 3} 4.100736
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.2583583{col 40}{space 2} 1.931399{col 51}{space 1}   -0.13{col 60}{space 3}0.894{col 68}{space 4}-4.043831{col 81}{space 3} 3.527114
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.198828{col 40}{space 2} 2.374518{col 51}{space 1}    0.50{col 60}{space 3}0.614{col 68}{space 4}-3.455141{col 81}{space 3} 5.852798
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-717.2706{col 40}{space 2} 1124.481{col 51}{space 1}   -0.64{col 60}{space 3}0.524{col 68}{space 4}-2921.213{col 81}{space 3} 1486.672
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.629948{col 40}{space 2} 1.358374{col 51}{space 1}    1.20{col 60}{space 3}0.230{col 68}{space 4}-1.032415{col 81}{space 3} 4.292312
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1736618{col 40}{space 2} .1956382{col 51}{space 1}   -0.89{col 60}{space 3}0.375{col 68}{space 4}-.5571056{col 81}{space 3}  .209782
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.2613353{col 40}{space 2}  .181061{col 51}{space 1}   -1.44{col 60}{space 3}0.149{col 68}{space 4}-.6162083{col 81}{space 3} .0935378
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .3450734{col 40}{space 2} .2209008{col 51}{space 1}    1.56{col 60}{space 3}0.118{col 68}{space 4}-.0878841{col 81}{space 3} .7780309
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} 2.922254{col 40}{space 2} 1.188434{col 51}{space 1}    2.46{col 60}{space 3}0.014{col 68}{space 4} .5929672{col 81}{space 3} 5.251541
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0138519{col 40}{space 2} .2801996{col 51}{space 1}    0.05{col 60}{space 3}0.961{col 68}{space 4}-.5353292{col 81}{space 3} .5630329
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 9}threat_years_exec {c |}{col 28}{res}{space 2}  .611159{col 40}{space 2} .7463648{col 51}{space 1}    0.82{col 60}{space 3}0.413{col 68}{space 4}-.8516891{col 81}{space 3} 2.074007
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2} -.168667{col 40}{space 2}  .146348{col 51}{space 1}   -1.15{col 60}{space 3}0.249{col 68}{space 4}-.4555039{col 81}{space 3} .1181699
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2} .0071962{col 40}{space 2} .0064778{col 51}{space 1}    1.11{col 60}{space 3}0.267{col 68}{space 4}   -.0055{col 81}{space 3} .0198924
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-4.818075{col 40}{space 2} 9.841911{col 51}{space 1}   -0.49{col 60}{space 3}0.624{col 68}{space 4}-24.10787{col 81}{space 3} 14.47172
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table15 , word label title(Table 15: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table15.rtf"'"':Table15.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table15.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition  SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table15 , word label title(Table 15: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table15.rtf"'"':Table15.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table15.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: TargetGovt != 0 predicts failure perfectly
      TargetGovt dropped and 16 obs not used

note: MajorSenderCost != 0 predicts failure perfectly
      MajorSenderCost dropped and 2 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

note: cwongo != 0 predicts failure perfectly
      cwongo dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-25.240802}  
Iteration 1:{space 3}log pseudolikelihood = {res:-13.920693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-8.5222756}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2.0459295}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1.2588811}  
Iteration 5:{space 3}log pseudolikelihood = {res:-.00746485}  
Iteration 6:{space 3}log pseudolikelihood = {res:         0}  
Iteration 7:{space 3}log pseudolikelihood = {res:         0}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}        51
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(0)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}         0{txt}{col 51}Pseudo R2{col 67}= {res}    1.0000

{txt}{ralign 92:(Std. Err. adjusted for {res:43} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2} 19.82864{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} 348.4589{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} 353.0578{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-478.3861{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 523.1806{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -18.3412{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-186.1739{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} 12.42456{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} 8.729088{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-477.6218{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}  516.673{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 418.0974{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-10657.81{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-44.83334{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-40.17798{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} 20.10713{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-64.67784{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-213.3979{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} 127.1039{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 9}threat_years_govt {c |}{col 28}{res}{space 2} -27.5528{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} 7.694881{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.3679901{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1905.138{col 40}{space 2}        .{col 51}{space 1}       .{col 60}{space 3}    .{col 68}{space 4}        .{col 81}{space 3}        .
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 41 failures and 10 successes completely determined.{p_end}

{com}. outreg2 using Table15 , word label title(Table 15: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table15.rtf"'"':Table15.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table15.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition  SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table15 , word label title(Table 15: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table15.rtf"'"':Table15.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table15.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 16****
. *Model 1*
. logit ExecThreat AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-69.238299}  
Iteration 1:{space 3}log pseudolikelihood = {res:-39.233184}  
Iteration 2:{space 3}log pseudolikelihood = {res:-37.671555}  
Iteration 3:{space 3}log pseudolikelihood = {res:-37.458539}  
Iteration 4:{space 3}log pseudolikelihood = {res:-37.305855}  
Iteration 5:{space 3}log pseudolikelihood = {res:-37.304348}  
Iteration 6:{space 3}log pseudolikelihood = {res:-37.304347}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       103
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}     74.47
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-37.304347{txt}{col 51}Pseudo R2{col 67}= {res}    0.4612

{txt}{ralign 92:(Std. Err. adjusted for {res:79} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2} .0063934{col 40}{space 2} .0143528{col 51}{space 1}    0.45{col 60}{space 3}0.656{col 68}{space 4}-.0217377{col 81}{space 3} .0345244
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 3.876557{col 40}{space 2} 1.527532{col 51}{space 1}    2.54{col 60}{space 3}0.011{col 68}{space 4} .8826482{col 81}{space 3} 6.870465
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-2.343061{col 40}{space 2} .8942046{col 51}{space 1}   -2.62{col 60}{space 3}0.009{col 68}{space 4} -4.09567{col 81}{space 3}-.5904524
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}  1.33003{col 40}{space 2} 1.395758{col 51}{space 1}    0.95{col 60}{space 3}0.341{col 68}{space 4}-1.405605{col 81}{space 3} 4.065666
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-8.753933{col 40}{space 2} 3.154969{col 51}{space 1}   -2.77{col 60}{space 3}0.006{col 68}{space 4}-14.93756{col 81}{space 3}-2.570307
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.797616{col 40}{space 2} 1.402252{col 51}{space 1}   -1.28{col 60}{space 3}0.200{col 68}{space 4} -4.54598{col 81}{space 3} .9507479
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  4.64856{col 40}{space 2} .8586479{col 51}{space 1}    5.41{col 60}{space 3}0.000{col 68}{space 4} 2.965641{col 81}{space 3} 6.331479
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}  .033917{col 40}{space 2} .1558988{col 51}{space 1}    0.22{col 60}{space 3}0.828{col 68}{space 4}-.2716391{col 81}{space 3} .3394731
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} .3965097{col 40}{space 2} .1238758{col 51}{space 1}    3.20{col 60}{space 3}0.001{col 68}{space 4} .1537175{col 81}{space 3} .6393019
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-3.896263{col 40}{space 2} 1.537662{col 51}{space 1}   -2.53{col 60}{space 3}0.011{col 68}{space 4}-6.910024{col 81}{space 3}-.8825015
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} 1.597003{col 40}{space 2}  1.09375{col 51}{space 1}    1.46{col 60}{space 3}0.144{col 68}{space 4}-.5467069{col 81}{space 3} 3.740713
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.2681971{col 40}{space 2} 1.265729{col 51}{space 1}   -0.21{col 60}{space 3}0.832{col 68}{space 4} -2.74898{col 81}{space 3} 2.212585
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 3.617183{col 40}{space 2} 1.401966{col 51}{space 1}    2.58{col 60}{space 3}0.010{col 68}{space 4} .8693797{col 81}{space 3} 6.364986
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 86.89418{col 40}{space 2} 81.62455{col 51}{space 1}    1.06{col 60}{space 3}0.287{col 68}{space 4}-73.08701{col 81}{space 3} 246.8754
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.967585{col 40}{space 2} 1.126439{col 51}{space 1}   -1.75{col 60}{space 3}0.081{col 68}{space 4}-4.175366{col 81}{space 3} .2401952
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0807467{col 40}{space 2} .0914424{col 51}{space 1}   -0.88{col 60}{space 3}0.377{col 68}{space 4}-.2599705{col 81}{space 3} .0984771
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .1372272{col 40}{space 2} .0807457{col 51}{space 1}    1.70{col 60}{space 3}0.089{col 68}{space 4}-.0210315{col 81}{space 3} .2954859
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .0137039{col 40}{space 2}  .087991{col 51}{space 1}    0.16{col 60}{space 3}0.876{col 68}{space 4}-.1587552{col 81}{space 3}  .186163
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.1654276{col 40}{space 2} 1.152582{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4}-2.424446{col 81}{space 3} 2.093591
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  .377497{col 40}{space 2} .1904068{col 51}{space 1}    1.98{col 60}{space 3}0.047{col 68}{space 4} .0043064{col 81}{space 3} .7506875
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} 6.786639{col 40}{space 2} 2.190013{col 51}{space 1}    3.10{col 60}{space 3}0.002{col 68}{space 4} 2.494293{col 81}{space 3} 11.07899
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-.1241826{col 40}{space 2} .6695552{col 51}{space 1}   -0.19{col 60}{space 3}0.853{col 68}{space 4}-1.436487{col 81}{space 3} 1.188122
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2}-.0010009{col 40}{space 2} .1178483{col 51}{space 1}   -0.01{col 60}{space 3}0.993{col 68}{space 4}-.2319792{col 81}{space 3} .2299774
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2}-.0006268{col 40}{space 2} .0048011{col 51}{space 1}   -0.13{col 60}{space 3}0.896{col 68}{space 4}-.0100369{col 81}{space 3} .0087833
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-11.05347{col 40}{space 2}  5.14651{col 51}{space 1}   -2.15{col 60}{space 3}0.032{col 68}{space 4}-21.14044{col 81}{space 3}-.9664934
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. outreg2 using Table16 , word label title(Table 16: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table16.rtf"'"':Table16.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table16.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition  AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0070939{col 29}{space 2} .0050214{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} -.002748{col 70}{space 3} .0169357
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table16 , word label title(Table 16: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table16.rtf"'"':Table16.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table16.txt", label"':seeout}

{com}. 
. *Model 3
. logit GovtThreat AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

note: cwongo != 0 predicts failure perfectly
      cwongo dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-45.773934}  
Iteration 1:{space 3}log pseudolikelihood = {res:-29.382301}  
Iteration 2:{space 3}log pseudolikelihood = {res:-21.244564}  
Iteration 3:{space 3}log pseudolikelihood = {res:-18.573152}  
Iteration 4:{space 3}log pseudolikelihood = {res:-17.564478}  
Iteration 5:{space 3}log pseudolikelihood = {res:-17.108841}  
Iteration 6:{space 3}log pseudolikelihood = {res:-17.014347}  
Iteration 7:{space 3}log pseudolikelihood = {res:-16.959439}  
Iteration 8:{space 3}log pseudolikelihood = {res:-16.951959}  
Iteration 9:{space 3}log pseudolikelihood = {res:-16.951923}  
Iteration 10:{space 2}log pseudolikelihood = {res:-16.951923}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       101
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     76.83
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-16.951923{txt}{col 51}Pseudo R2{col 67}= {res}    0.6297

{txt}{ralign 92:(Std. Err. adjusted for {res:79} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2} .0679354{col 40}{space 2} .0620544{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-.0536889{col 81}{space 3} .1895598
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.380169{col 40}{space 2} 3.235128{col 51}{space 1}   -0.43{col 60}{space 3}0.670{col 68}{space 4}-7.720903{col 81}{space 3} 4.960565
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} 3.495851{col 40}{space 2} 2.175624{col 51}{space 1}    1.61{col 60}{space 3}0.108{col 68}{space 4}-.7682924{col 81}{space 3} 7.759995
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-8.469022{col 40}{space 2} 5.076544{col 51}{space 1}   -1.67{col 60}{space 3}0.095{col 68}{space 4}-18.41886{col 81}{space 3} 1.480822
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 7.097288{col 40}{space 2} 2.860458{col 51}{space 1}    2.48{col 60}{space 3}0.013{col 68}{space 4} 1.490894{col 81}{space 3} 12.70368
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 10.25615{col 40}{space 2} 5.520164{col 51}{space 1}    1.86{col 60}{space 3}0.063{col 68}{space 4}-.5631731{col 81}{space 3} 21.07547
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-8.680137{col 40}{space 2} 4.926772{col 51}{space 1}   -1.76{col 60}{space 3}0.078{col 68}{space 4}-18.33643{col 81}{space 3}  .976159
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .3786904{col 40}{space 2} .2605294{col 51}{space 1}    1.45{col 60}{space 3}0.146{col 68}{space 4}-.1319378{col 81}{space 3} .8893186
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2}-.1608875{col 40}{space 2}  .174264{col 51}{space 1}   -0.92{col 60}{space 3}0.356{col 68}{space 4}-.5024388{col 81}{space 3} .1806637
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} 6.071798{col 40}{space 2} 2.899939{col 51}{space 1}    2.09{col 60}{space 3}0.036{col 68}{space 4} .3880221{col 81}{space 3} 11.75557
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-8.020638{col 40}{space 2} 4.346973{col 51}{space 1}   -1.85{col 60}{space 3}0.065{col 68}{space 4}-16.54055{col 81}{space 3}  .499272
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 15.80001{col 40}{space 2} 7.661106{col 51}{space 1}    2.06{col 60}{space 3}0.039{col 68}{space 4} .7845126{col 81}{space 3}  30.8155
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-7.979087{col 40}{space 2} 4.528916{col 51}{space 1}   -1.76{col 60}{space 3}0.078{col 68}{space 4} -16.8556{col 81}{space 3} .8974242
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 959.9092{col 40}{space 2} 630.3343{col 51}{space 1}    1.52{col 60}{space 3}0.128{col 68}{space 4}-275.5232{col 81}{space 3} 2195.342
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.002434{col 40}{space 2} 1.659902{col 51}{space 1}    0.60{col 60}{space 3}0.546{col 68}{space 4}-2.250915{col 81}{space 3} 4.255783
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} -.273932{col 40}{space 2} .1480622{col 51}{space 1}   -1.85{col 60}{space 3}0.064{col 68}{space 4}-.5641287{col 81}{space 3} .0162646
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.5863993{col 40}{space 2} .3152696{col 51}{space 1}   -1.86{col 60}{space 3}0.063{col 68}{space 4}-1.204316{col 81}{space 3} .0315178
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.7286896{col 40}{space 2} .3895992{col 51}{space 1}   -1.87{col 60}{space 3}0.061{col 68}{space 4} -1.49229{col 81}{space 3} .0349108
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.1968952{col 40}{space 2} 1.411348{col 51}{space 1}   -0.14{col 60}{space 3}0.889{col 68}{space 4}-2.963086{col 81}{space 3} 2.569296
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}   .66318{col 40}{space 2} .3308514{col 51}{space 1}    2.00{col 60}{space 3}0.045{col 68}{space 4} .0147232{col 81}{space 3} 1.311637
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 9}threat_years_govt {c |}{col 28}{res}{space 2} .3333027{col 40}{space 2} 2.151624{col 51}{space 1}    0.15{col 60}{space 3}0.877{col 68}{space 4}-3.883803{col 81}{space 3} 4.550409
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2}-.6176565{col 40}{space 2} .8488686{col 51}{space 1}   -0.73{col 60}{space 3}0.467{col 68}{space 4}-2.281408{col 81}{space 3} 1.046095
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2} .0241335{col 40}{space 2} .0310218{col 51}{space 1}    0.78{col 60}{space 3}0.437{col 68}{space 4}-.0366681{col 81}{space 3}  .084935
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 5.508709{col 40}{space 2} 5.406874{col 51}{space 1}    1.02{col 60}{space 3}0.308{col 68}{space 4}-5.088569{col 81}{space 3} 16.10599
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 22 failures and 0 successes completely determined.{p_end}

{com}. outreg2 using Table16 , word label title(Table 16: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table16.rtf"'"':Table16.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table16.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition  AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0070939{col 29}{space 2} .0050214{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} -.002748{col 70}{space 3} .0169357
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table16 , word label title(Table 16: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table16.rtf"'"':Table16.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table16.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 17****
. *Model 1*
. logit ExecThreat FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-71.398187}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.190813}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.613578}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.594206}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.593622}  
Iteration 5:{space 3}log pseudolikelihood = {res: -48.59362}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       105
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     43.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0059
{txt}Log pseudolikelihood = {res} -48.59362{txt}{col 51}Pseudo R2{col 67}= {res}    0.3194

{txt}{ralign 92:(Std. Err. adjusted for {res:82} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2} .3116174{col 40}{space 2} .1778564{col 51}{space 1}    1.75{col 60}{space 3}0.080{col 68}{space 4}-.0369748{col 81}{space 3} .6602096
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.315547{col 40}{space 2} 1.351285{col 51}{space 1}    1.71{col 60}{space 3}0.087{col 68}{space 4}-.3329227{col 81}{space 3} 4.964017
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-1.303044{col 40}{space 2} .9485727{col 51}{space 1}   -1.37{col 60}{space 3}0.170{col 68}{space 4}-3.162213{col 81}{space 3}  .556124
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} .2029442{col 40}{space 2} 1.508791{col 51}{space 1}    0.13{col 60}{space 3}0.893{col 68}{space 4}-2.754232{col 81}{space 3}  3.16012
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.996612{col 40}{space 2} 1.667469{col 51}{space 1}   -2.40{col 60}{space 3}0.017{col 68}{space 4} -7.26479{col 81}{space 3}-.7284328
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-.5808766{col 40}{space 2} 1.102157{col 51}{space 1}   -0.53{col 60}{space 3}0.598{col 68}{space 4}-2.741065{col 81}{space 3} 1.579312
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 2.708971{col 40}{space 2} .9333892{col 51}{space 1}    2.90{col 60}{space 3}0.004{col 68}{space 4} .8795622{col 81}{space 3} 4.538381
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} -.006047{col 40}{space 2} .1174819{col 51}{space 1}   -0.05{col 60}{space 3}0.959{col 68}{space 4}-.2363073{col 81}{space 3} .2242133
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} .2651999{col 40}{space 2} .1143453{col 51}{space 1}    2.32{col 60}{space 3}0.020{col 68}{space 4} .0410872{col 81}{space 3} .4893126
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2} .1942513{col 40}{space 2} .9266677{col 51}{space 1}    0.21{col 60}{space 3}0.834{col 68}{space 4}-1.621984{col 81}{space 3} 2.010487
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.4079311{col 40}{space 2} 1.104678{col 51}{space 1}   -0.37{col 60}{space 3}0.712{col 68}{space 4}-2.573061{col 81}{space 3} 1.757199
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 2.255017{col 40}{space 2} 1.081963{col 51}{space 1}    2.08{col 60}{space 3}0.037{col 68}{space 4} .1344083{col 81}{space 3} 4.375625
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-8.488561{col 40}{space 2} 58.61054{col 51}{space 1}   -0.14{col 60}{space 3}0.885{col 68}{space 4}-123.3631{col 81}{space 3}  106.386
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.398525{col 40}{space 2}  .980559{col 51}{space 1}   -1.43{col 60}{space 3}0.154{col 68}{space 4}-3.320386{col 81}{space 3}  .523335
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} -.063895{col 40}{space 2}  .078211{col 51}{space 1}   -0.82{col 60}{space 3}0.414{col 68}{space 4}-.2171858{col 81}{space 3} .0893958
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0996392{col 40}{space 2} .0724678{col 51}{space 1}    1.37{col 60}{space 3}0.169{col 68}{space 4} -.042395{col 81}{space 3} .2416734
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}  -.01408{col 40}{space 2} .0852548{col 51}{space 1}   -0.17{col 60}{space 3}0.869{col 68}{space 4}-.1811764{col 81}{space 3} .1530163
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.1349722{col 40}{space 2} .7348012{col 51}{space 1}   -0.18{col 60}{space 3}0.854{col 68}{space 4}-1.575156{col 81}{space 3} 1.305212
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .3473589{col 40}{space 2} .1728769{col 51}{space 1}    2.01{col 60}{space 3}0.045{col 68}{space 4} .0085263{col 81}{space 3} .6861914
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} 1.798948{col 40}{space 2} 1.276617{col 51}{space 1}    1.41{col 60}{space 3}0.159{col 68}{space 4}-.7031761{col 81}{space 3} 4.301071
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-.0458821{col 40}{space 2} .3739229{col 51}{space 1}   -0.12{col 60}{space 3}0.902{col 68}{space 4}-.7787575{col 81}{space 3} .6869933
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2}-.0187251{col 40}{space 2} .0511315{col 51}{space 1}   -0.37{col 60}{space 3}0.714{col 68}{space 4} -.118941{col 81}{space 3} .0814907
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2} .0006954{col 40}{space 2} .0016124{col 51}{space 1}    0.43{col 60}{space 3}0.666{col 68}{space 4}-.0024649{col 81}{space 3} .0038557
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-8.313224{col 40}{space 2} 3.769127{col 51}{space 1}   -2.21{col 60}{space 3}0.027{col 68}{space 4}-15.70058{col 81}{space 3}-.9258702
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table17 , word label title(Table 17: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table17.rtf"'"':Table17.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table17.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition  FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-469.78473}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.81305}  
Iteration 3:{space 3}log pseudolikelihood = {res:-468.80976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-468.80976}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       824
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.68
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-468.80976{txt}{col 51}Pseudo R2{col 67}= {res}    0.0928

{txt}{ralign 79:(Std. Err. adjusted for {res:226} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1570316{col 27}{space 2} .0633176{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0329314{col 68}{space 3} .2811317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4977986{col 27}{space 2} .8895492{col 38}{space 1}    0.56{col 47}{space 3}0.576{col 55}{space 4}-1.245686{col 68}{space 3} 2.241283
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .3736507{col 27}{space 2} .2566823{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.1294374{col 68}{space 3} .8767387
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.254141{col 27}{space 2} .3889421{col 38}{space 1}   -3.22{col 47}{space 3}0.001{col 55}{space 4}-2.016453{col 68}{space 3}-.4918283
{txt}igomember_log {c |}{col 15}{res}{space 2} .8750323{col 27}{space 2}    .4971{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.0992658{col 68}{space 3}  1.84933
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.983304{col 27}{space 2}  9.67426{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-27.94451{col 68}{space 3} 9.977897
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.018889{col 27}{space 2}  .397251{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .2402914{col 68}{space 3} 1.797487
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0086126{col 27}{space 2} .0329871{col 38}{space 1}   -0.26{col 47}{space 3}0.794{col 55}{space 4}-.0732662{col 68}{space 3}  .056041
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0315902{col 27}{space 2} .0308581{col 38}{space 1}    1.02{col 47}{space 3}0.306{col 55}{space 4}-.0288906{col 68}{space 3}  .092071
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0609774{col 27}{space 2} .0384475{col 38}{space 1}    1.59{col 47}{space 3}0.113{col 55}{space 4}-.0143783{col 68}{space 3}  .136333
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1241553{col 27}{space 2} .3106694{col 38}{space 1}   -0.40{col 47}{space 3}0.689{col 55}{space 4} -.733056{col 68}{space 3} .4847455
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2076663{col 27}{space 2} .0771444{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.3588665{col 68}{space 3} -.056466
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} -.292859{col 27}{space 2} .4633868{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4} -1.20108{col 68}{space 3} .6153623
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.813812{col 27}{space 2} 1.729668{col 38}{space 1}   -2.20{col 47}{space 3}0.027{col 55}{space 4}-7.203899{col 68}{space 3}-.4237259
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table17 , word label title(Table 17: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table17.rtf"'"':Table17.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table17.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: 2.n_threatenedtargetinterest != 0 predicts failure perfectly
      2.n_threatenedtargetinterest dropped and 6 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 1 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -45.40126}  
Iteration 1:{space 3}log pseudolikelihood = {res:-31.126152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-26.595916}  
Iteration 3:{space 3}log pseudolikelihood = {res:-25.580892}  
Iteration 4:{space 3}log pseudolikelihood = {res:-25.239355}  
Iteration 5:{space 3}log pseudolikelihood = {res:-25.150486}  
Iteration 6:{space 3}log pseudolikelihood = {res:-25.056395}  
Iteration 7:{space 3}log pseudolikelihood = {res:-24.859796}  
Iteration 8:{space 3}log pseudolikelihood = {res:-24.796119}  
Iteration 9:{space 3}log pseudolikelihood = {res:-24.145449}  
Iteration 10:{space 2}log pseudolikelihood = {res:-24.081559}  
convergence not achieved
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}        99
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     50.51
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0005
{txt}Log pseudolikelihood = {res}-24.081559{txt}{col 51}Pseudo R2{col 67}= {res}    0.4696

{txt}{ralign 92:(Std. Err. adjusted for {res:79} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2} .4581616{col 40}{space 2} .3162776{col 51}{space 1}    1.45{col 60}{space 3}0.147{col 68}{space 4}-.1617311{col 81}{space 3} 1.078054
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .1232072{col 40}{space 2} 2.131214{col 51}{space 1}    0.06{col 60}{space 3}0.954{col 68}{space 4}-4.053895{col 81}{space 3}  4.30031
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.0106241{col 40}{space 2} 1.636089{col 51}{space 1}   -0.01{col 60}{space 3}0.995{col 68}{space 4}  -3.2173{col 81}{space 3} 3.196052
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 24}3  {c |}{col 28}{res}{space 2} 5.503431{col 40}{space 2} 1.654167{col 51}{space 1}    3.33{col 60}{space 3}0.001{col 68}{space 4} 2.261324{col 81}{space 3} 8.745538
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.408168{col 40}{space 2}  2.00186{col 51}{space 1}    1.70{col 60}{space 3}0.089{col 68}{space 4}-.5154045{col 81}{space 3} 7.331741
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-1.823581{col 40}{space 2} 1.609625{col 51}{space 1}   -1.13{col 60}{space 3}0.257{col 68}{space 4}-4.978387{col 81}{space 3} 1.331225
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0074303{col 40}{space 2} .2458347{col 51}{space 1}    0.03{col 60}{space 3}0.976{col 68}{space 4}-.4743968{col 81}{space 3} .4892574
{txt}{space 8}sanctiontypethreat {c |}{col 28}{res}{space 2} -.243791{col 40}{space 2}  .179927{col 51}{space 1}   -1.35{col 60}{space 3}0.175{col 68}{space 4}-.5964414{col 81}{space 3} .1088594
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-3.679086{col 40}{space 2} 1.752586{col 51}{space 1}   -2.10{col 60}{space 3}0.036{col 68}{space 4}-7.114092{col 81}{space 3}-.2440791
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 6.192395{col 40}{space 2} 2.004551{col 51}{space 1}    3.09{col 60}{space 3}0.002{col 68}{space 4} 2.263548{col 81}{space 3} 10.12124
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} -4.79104{col 40}{space 2} 2.358971{col 51}{space 1}   -2.03{col 60}{space 3}0.042{col 68}{space 4}-9.414538{col 81}{space 3}-.1675423
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 624.1753{col 40}{space 2} 498.2025{col 51}{space 1}    1.25{col 60}{space 3}0.210{col 68}{space 4}-352.2836{col 81}{space 3} 1600.634
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.068065{col 40}{space 2}  2.22004{col 51}{space 1}    0.48{col 60}{space 3}0.630{col 68}{space 4}-3.283133{col 81}{space 3} 5.419263
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0025126{col 40}{space 2}  .113338{col 51}{space 1}   -0.02{col 60}{space 3}0.982{col 68}{space 4}-.2246509{col 81}{space 3} .2196258
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.2565042{col 40}{space 2} .1556975{col 51}{space 1}   -1.65{col 60}{space 3}0.099{col 68}{space 4}-.5616657{col 81}{space 3} .0486572
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1590704{col 40}{space 2} .1986236{col 51}{space 1}   -0.80{col 60}{space 3}0.423{col 68}{space 4}-.5483654{col 81}{space 3} .2302247
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} 1.054888{col 40}{space 2} 1.301038{col 51}{space 1}    0.81{col 60}{space 3}0.417{col 68}{space 4}  -1.4951{col 81}{space 3} 3.604876
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}-.0414833{col 40}{space 2} .5132604{col 51}{space 1}   -0.08{col 60}{space 3}0.936{col 68}{space 4}-1.047455{col 81}{space 3} .9644886
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} 1.544299{col 40}{space 2}  1.49343{col 51}{space 1}    1.03{col 60}{space 3}0.301{col 68}{space 4} -1.38277{col 81}{space 3} 4.471369
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2}-6.240826{col 40}{space 2} 4.016215{col 51}{space 1}   -1.55{col 60}{space 3}0.120{col 68}{space 4}-14.11246{col 81}{space 3} 1.630811
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} 2.346806{col 40}{space 2} 1.661411{col 51}{space 1}    1.41{col 60}{space 3}0.158{col 68}{space 4}-.9094992{col 81}{space 3} 5.603112
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.2337434{col 40}{space 2} .1671953{col 51}{space 1}   -1.40{col 60}{space 3}0.162{col 68}{space 4}-.5614403{col 81}{space 3} .0939534
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 13.43062{col 40}{space 2} 6.664676{col 51}{space 1}    2.02{col 60}{space 3}0.044{col 68}{space 4} .3680925{col 81}{space 3} 26.49314
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 20 failures and 0 successes completely determined.{p_end}
Warning: convergence not achieved

{com}. outreg2 using Table17 , word label title(Table 17: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table17.rtf"'"':Table17.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table17.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition  FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-469.78473}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.81305}  
Iteration 3:{space 3}log pseudolikelihood = {res:-468.80976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-468.80976}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       824
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.68
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-468.80976{txt}{col 51}Pseudo R2{col 67}= {res}    0.0928

{txt}{ralign 79:(Std. Err. adjusted for {res:226} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1570316{col 27}{space 2} .0633176{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0329314{col 68}{space 3} .2811317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4977986{col 27}{space 2} .8895492{col 38}{space 1}    0.56{col 47}{space 3}0.576{col 55}{space 4}-1.245686{col 68}{space 3} 2.241283
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .3736507{col 27}{space 2} .2566823{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.1294374{col 68}{space 3} .8767387
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.254141{col 27}{space 2} .3889421{col 38}{space 1}   -3.22{col 47}{space 3}0.001{col 55}{space 4}-2.016453{col 68}{space 3}-.4918283
{txt}igomember_log {c |}{col 15}{res}{space 2} .8750323{col 27}{space 2}    .4971{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.0992658{col 68}{space 3}  1.84933
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.983304{col 27}{space 2}  9.67426{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-27.94451{col 68}{space 3} 9.977897
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.018889{col 27}{space 2}  .397251{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .2402914{col 68}{space 3} 1.797487
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0086126{col 27}{space 2} .0329871{col 38}{space 1}   -0.26{col 47}{space 3}0.794{col 55}{space 4}-.0732662{col 68}{space 3}  .056041
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0315902{col 27}{space 2} .0308581{col 38}{space 1}    1.02{col 47}{space 3}0.306{col 55}{space 4}-.0288906{col 68}{space 3}  .092071
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0609774{col 27}{space 2} .0384475{col 38}{space 1}    1.59{col 47}{space 3}0.113{col 55}{space 4}-.0143783{col 68}{space 3}  .136333
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1241553{col 27}{space 2} .3106694{col 38}{space 1}   -0.40{col 47}{space 3}0.689{col 55}{space 4} -.733056{col 68}{space 3} .4847455
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2076663{col 27}{space 2} .0771444{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.3588665{col 68}{space 3} -.056466
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} -.292859{col 27}{space 2} .4633868{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4} -1.20108{col 68}{space 3} .6153623
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.813812{col 27}{space 2} 1.729668{col 38}{space 1}   -2.20{col 47}{space 3}0.027{col 55}{space 4}-7.203899{col 68}{space 3}-.4237259
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table17 , word label title(Table 17: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table17.rtf"'"':Table17.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table17.txt", label"':seeout}

{com}. 
. 
. *****************************Tables 25-29 Corrected Models for Tables 18-22 of Supplemental*************************************************
. 
. ****Table 25****
. *Model 1*
. logit ExecThreat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-354.48345}  
Iteration 1:{space 3}log pseudolikelihood = {res:-228.00125}  
Iteration 2:{space 3}log pseudolikelihood = {res:-211.36093}  
Iteration 3:{space 3}log pseudolikelihood = {res:-208.41464}  
Iteration 4:{space 3}log pseudolikelihood = {res: -208.1152}  
Iteration 5:{space 3}log pseudolikelihood = {res:-208.10989}  
Iteration 6:{space 3}log pseudolikelihood = {res:-208.10988}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       618
{txt}{col 51}Wald chi2({res}27{txt}){col 67}= {res}     99.14
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-208.10988{txt}{col 51}Pseudo R2{col 67}= {res}    0.4129

{txt}{ralign 92:(Std. Err. adjusted for {res:206} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2}-1.725657{col 40}{space 2} 1.267479{col 51}{space 1}   -1.36{col 60}{space 3}0.173{col 68}{space 4} -4.20987{col 81}{space 3}  .758557
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2}-1.233252{col 40}{space 2} 1.487331{col 51}{space 1}   -0.83{col 60}{space 3}0.407{col 68}{space 4}-4.148367{col 81}{space 3} 1.681863
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2} 1.527001{col 40}{space 2} 1.009569{col 51}{space 1}    1.51{col 60}{space 3}0.130{col 68}{space 4}-.4517174{col 81}{space 3}  3.50572
{txt}{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2} 2.915668{col 40}{space 2} 2.677345{col 51}{space 1}    1.09{col 60}{space 3}0.276{col 68}{space 4}-2.331831{col 81}{space 3} 8.163168
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.411753{col 40}{space 2} .9818999{col 51}{space 1}    2.46{col 60}{space 3}0.014{col 68}{space 4} .4872645{col 81}{space 3} 4.336241
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .3938079{col 40}{space 2} .5299732{col 51}{space 1}    0.74{col 60}{space 3}0.457{col 68}{space 4}-.6449205{col 81}{space 3} 1.432536
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.4752481{col 40}{space 2} .9068303{col 51}{space 1}   -0.52{col 60}{space 3}0.600{col 68}{space 4}-2.252603{col 81}{space 3} 1.302107
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-1.619789{col 40}{space 2} .5217299{col 51}{space 1}   -3.10{col 60}{space 3}0.002{col 68}{space 4}-2.642361{col 81}{space 3}-.5972174
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.189539{col 40}{space 2} .8483987{col 51}{space 1}   -1.40{col 60}{space 3}0.161{col 68}{space 4} -2.85237{col 81}{space 3} .4732922
{txt}{space 24}5  {c |}{col 28}{res}{space 2} .3690533{col 40}{space 2} .6662395{col 51}{space 1}    0.55{col 60}{space 3}0.580{col 68}{space 4}-.9367521{col 81}{space 3} 1.674859
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0822083{col 40}{space 2}  .069473{col 51}{space 1}   -1.18{col 60}{space 3}0.237{col 68}{space 4}-.2183728{col 81}{space 3} .0539563
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1159462{col 40}{space 2}  .076085{col 51}{space 1}    1.52{col 60}{space 3}0.128{col 68}{space 4}-.0331776{col 81}{space 3}   .26507
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .2432206{col 40}{space 2} .6231135{col 51}{space 1}    0.39{col 60}{space 3}0.696{col 68}{space 4}-.9780594{col 81}{space 3} 1.464501
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.4842238{col 40}{space 2} .6069559{col 51}{space 1}   -0.80{col 60}{space 3}0.425{col 68}{space 4}-1.673835{col 81}{space 3}  .705388
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} -1.23867{col 40}{space 2} .5339669{col 51}{space 1}   -2.32{col 60}{space 3}0.020{col 68}{space 4}-2.285226{col 81}{space 3}-.1921144
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.407336{col 40}{space 2} .5258279{col 51}{space 1}    2.68{col 60}{space 3}0.007{col 68}{space 4} .3767319{col 81}{space 3} 2.437939
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-24.17577{col 40}{space 2} 51.52589{col 51}{space 1}   -0.47{col 60}{space 3}0.639{col 68}{space 4}-125.1647{col 81}{space 3} 76.81311
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .3588259{col 40}{space 2} .4747818{col 51}{space 1}    0.76{col 60}{space 3}0.450{col 68}{space 4}-.5717293{col 81}{space 3} 1.289381
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .0232143{col 40}{space 2} .0388459{col 51}{space 1}    0.60{col 60}{space 3}0.550{col 68}{space 4}-.0529222{col 81}{space 3} .0993508
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0114993{col 40}{space 2} .0363204{col 51}{space 1}    0.32{col 60}{space 3}0.752{col 68}{space 4}-.0596874{col 81}{space 3} .0826861
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .0461163{col 40}{space 2} .0466989{col 51}{space 1}    0.99{col 60}{space 3}0.323{col 68}{space 4}-.0454118{col 81}{space 3} .1376445
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .1702473{col 40}{space 2}  .400259{col 51}{space 1}    0.43{col 60}{space 3}0.671{col 68}{space 4}-.6142459{col 81}{space 3} .9547406
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1645624{col 40}{space 2} .0729731{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4} .0215377{col 81}{space 3}  .307587
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .2793579{col 40}{space 2} .5211478{col 51}{space 1}    0.54{col 60}{space 3}0.592{col 68}{space 4} -.742073{col 81}{space 3} 1.300789
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-1.506538{col 40}{space 2} .2567944{col 51}{space 1}   -5.87{col 60}{space 3}0.000{col 68}{space 4}-2.009845{col 81}{space 3} -1.00323
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2} .1924765{col 40}{space 2} .0431337{col 51}{space 1}    4.46{col 60}{space 3}0.000{col 68}{space 4}  .107936{col 81}{space 3} .2770169
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2}-.0067081{col 40}{space 2}   .00196{col 51}{space 1}   -3.42{col 60}{space 3}0.001{col 68}{space 4}-.0105495{col 81}{space 3}-.0028667
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-5.300794{col 40}{space 2} 1.765769{col 51}{space 1}   -3.00{col 60}{space 3}0.003{col 68}{space 4}-8.761638{col 81}{space 3} -1.83995
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 3 failures and 0 successes completely determined.{p_end}

{com}. outreg2 using Table25 , word label title(Table 25: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table25.rtf"'"':Table25.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table25.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table25 , word label title(Table 25: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table25.rtf"'"':Table25.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table25.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-298.41614}  
Iteration 1:{space 3}log pseudolikelihood = {res:-209.75204}  
Iteration 2:{space 3}log pseudolikelihood = {res: -193.9758}  
Iteration 3:{space 3}log pseudolikelihood = {res:-192.55943}  
Iteration 4:{space 3}log pseudolikelihood = {res:-192.55552}  
Iteration 5:{space 3}log pseudolikelihood = {res:-192.55552}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       618
{txt}{col 51}Wald chi2({res}27{txt}){col 67}= {res}    124.77
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-192.55552{txt}{col 51}Pseudo R2{col 67}= {res}    0.3547

{txt}{ralign 92:(Std. Err. adjusted for {res:206} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2}-1.101196{col 40}{space 2} 1.112891{col 51}{space 1}   -0.99{col 60}{space 3}0.322{col 68}{space 4}-3.282422{col 81}{space 3} 1.080031
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2}-.4782199{col 40}{space 2} 1.199542{col 51}{space 1}   -0.40{col 60}{space 3}0.690{col 68}{space 4}-2.829279{col 81}{space 3} 1.872839
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2}-.5176527{col 40}{space 2} 1.202311{col 51}{space 1}   -0.43{col 60}{space 3}0.667{col 68}{space 4} -2.87414{col 81}{space 3} 1.838834
{txt}{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2} 3.072876{col 40}{space 2} 2.359005{col 51}{space 1}    1.30{col 60}{space 3}0.193{col 68}{space 4}-1.550688{col 81}{space 3} 7.696441
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .0414516{col 40}{space 2} .8885705{col 51}{space 1}    0.05{col 60}{space 3}0.963{col 68}{space 4}-1.700114{col 81}{space 3} 1.783018
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .6420659{col 40}{space 2} .5278869{col 51}{space 1}    1.22{col 60}{space 3}0.224{col 68}{space 4}-.3925734{col 81}{space 3} 1.676705
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.6585964{col 40}{space 2} 1.255698{col 51}{space 1}   -0.52{col 60}{space 3}0.600{col 68}{space 4}-3.119719{col 81}{space 3} 1.802526
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 1.458992{col 40}{space 2}  .623652{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .2366561{col 81}{space 3} 2.681327
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 1.436061{col 40}{space 2} .8367772{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4} -.203992{col 81}{space 3} 3.076114
{txt}{space 24}5  {c |}{col 28}{res}{space 2} -.450623{col 40}{space 2} .7994837{col 51}{space 1}   -0.56{col 60}{space 3}0.573{col 68}{space 4}-2.017582{col 81}{space 3} 1.116336
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0168041{col 40}{space 2} .0780846{col 51}{space 1}   -0.22{col 60}{space 3}0.830{col 68}{space 4} -.169847{col 81}{space 3} .1362388
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1109118{col 40}{space 2} .0776419{col 51}{space 1}    1.43{col 60}{space 3}0.153{col 68}{space 4}-.0412635{col 81}{space 3} .2630871
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.1780271{col 40}{space 2} .6072028{col 51}{space 1}   -0.29{col 60}{space 3}0.769{col 68}{space 4}-1.368123{col 81}{space 3} 1.012068
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} 1.113848{col 40}{space 2} .4982517{col 51}{space 1}    2.24{col 60}{space 3}0.025{col 68}{space 4} .1372924{col 81}{space 3} 2.090403
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.608781{col 40}{space 2} .9577623{col 51}{space 1}    2.72{col 60}{space 3}0.006{col 68}{space 4}  .731601{col 81}{space 3}  4.48596
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5984824{col 40}{space 2} .4190811{col 51}{space 1}   -1.43{col 60}{space 3}0.153{col 68}{space 4}-1.419866{col 81}{space 3} .2229014
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 18.33679{col 40}{space 2}  33.5818{col 51}{space 1}    0.55{col 60}{space 3}0.585{col 68}{space 4}-47.48233{col 81}{space 3} 84.15591
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.208208{col 40}{space 2}  .553065{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .1242201{col 81}{space 3} 2.292195
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1715896{col 40}{space 2} .0457193{col 51}{space 1}   -3.75{col 60}{space 3}0.000{col 68}{space 4}-.2611977{col 81}{space 3}-.0819814
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} -.119125{col 40}{space 2} .0420202{col 51}{space 1}   -2.83{col 60}{space 3}0.005{col 68}{space 4}-.2014831{col 81}{space 3}-.0367669
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0563189{col 40}{space 2} .0466978{col 51}{space 1}   -1.21{col 60}{space 3}0.228{col 68}{space 4} -.147845{col 81}{space 3} .0352071
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.7775481{col 40}{space 2} .4862748{col 51}{space 1}   -1.60{col 60}{space 3}0.110{col 68}{space 4}-1.730629{col 81}{space 3} .1755329
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}-.0133969{col 40}{space 2}  .097173{col 51}{space 1}   -0.14{col 60}{space 3}0.890{col 68}{space 4}-.2038526{col 81}{space 3} .1770587
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}  1.16142{col 40}{space 2} .5825345{col 51}{space 1}    1.99{col 60}{space 3}0.046{col 68}{space 4} .0196731{col 81}{space 3} 2.303166
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2}-1.064406{col 40}{space 2} .1917761{col 51}{space 1}   -5.55{col 60}{space 3}0.000{col 68}{space 4} -1.44028{col 81}{space 3}-.6885315
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} .0934928{col 40}{space 2} .0229856{col 51}{space 1}    4.07{col 60}{space 3}0.000{col 68}{space 4} .0484418{col 81}{space 3} .1385438
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.0021751{col 40}{space 2} .0007083{col 51}{space 1}   -3.07{col 60}{space 3}0.002{col 68}{space 4}-.0035634{col 81}{space 3}-.0007868
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.1271858{col 40}{space 2} 1.235361{col 51}{space 1}   -0.10{col 60}{space 3}0.918{col 68}{space 4}-2.548449{col 81}{space 3} 2.294077
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table25 , word label title(Table 25: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table25.rtf"'"':Table25.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table25.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table25 , word label title(Table 25: Executive Threats and Elite University Attendance) bdec(3)
{txt}{stata `"shellout using `"Table25.rtf"'"':Table25.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table25.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 26****
. *Model 1*
. logit ExecThreat sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-375.57174}  
Iteration 1:{space 3}log pseudolikelihood = {res:-246.65987}  
Iteration 2:{space 3}log pseudolikelihood = {res:-230.01213}  
Iteration 3:{space 3}log pseudolikelihood = {res:-226.90118}  
Iteration 4:{space 3}log pseudolikelihood = {res:-226.64142}  
Iteration 5:{space 3}log pseudolikelihood = {res:-226.63766}  
Iteration 6:{space 3}log pseudolikelihood = {res:-226.63766}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       664
{txt}{col 51}Wald chi2({res}25{txt}){col 67}= {res}    107.35
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-226.63766{txt}{col 51}Pseudo R2{col 67}= {res}    0.3966

{txt}{ralign 92:(Std. Err. adjusted for {res:213} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2}  .057942{col 40}{space 2} .2820534{col 51}{space 1}    0.21{col 60}{space 3}0.837{col 68}{space 4}-.4948725{col 81}{space 3} .6107565
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2} .2691153{col 40}{space 2} .3069126{col 51}{space 1}    0.88{col 60}{space 3}0.381{col 68}{space 4}-.3324224{col 81}{space 3}  .870653
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.408965{col 40}{space 2} .9523448{col 51}{space 1}    2.53{col 60}{space 3}0.011{col 68}{space 4} .5424037{col 81}{space 3} 4.275527
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .1545041{col 40}{space 2} .5300638{col 51}{space 1}    0.29{col 60}{space 3}0.771{col 68}{space 4}-.8844019{col 81}{space 3}  1.19341
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.4675229{col 40}{space 2} .9126027{col 51}{space 1}   -0.51{col 60}{space 3}0.608{col 68}{space 4}-2.256191{col 81}{space 3} 1.321146
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-1.668478{col 40}{space 2} .4960634{col 51}{space 1}   -3.36{col 60}{space 3}0.001{col 68}{space 4}-2.640744{col 81}{space 3}-.6962113
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.411302{col 40}{space 2} .8556718{col 51}{space 1}   -1.65{col 60}{space 3}0.099{col 68}{space 4}-3.088388{col 81}{space 3} .2657843
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  .596137{col 40}{space 2} .6411257{col 51}{space 1}    0.93{col 60}{space 3}0.352{col 68}{space 4}-.6604463{col 81}{space 3}  1.85272
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0536152{col 40}{space 2} .0714988{col 51}{space 1}   -0.75{col 60}{space 3}0.453{col 68}{space 4}-.1937503{col 81}{space 3} .0865198
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1174999{col 40}{space 2} .0733239{col 51}{space 1}    1.60{col 60}{space 3}0.109{col 68}{space 4}-.0262122{col 81}{space 3} .2612121
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .3919109{col 40}{space 2} .6722515{col 51}{space 1}    0.58{col 60}{space 3}0.560{col 68}{space 4}-.9256779{col 81}{space 3}   1.7095
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.4430941{col 40}{space 2} .5096305{col 51}{space 1}   -0.87{col 60}{space 3}0.385{col 68}{space 4}-1.441951{col 81}{space 3} .5557632
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} -.707871{col 40}{space 2} .5460592{col 51}{space 1}   -1.30{col 60}{space 3}0.195{col 68}{space 4}-1.778127{col 81}{space 3} .3623854
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.102131{col 40}{space 2} .4938952{col 51}{space 1}    2.23{col 60}{space 3}0.026{col 68}{space 4} .1341145{col 81}{space 3} 2.070148
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-4.398251{col 40}{space 2} 33.87783{col 51}{space 1}   -0.13{col 60}{space 3}0.897{col 68}{space 4}-70.79758{col 81}{space 3} 62.00108
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .2361224{col 40}{space 2} .4916776{col 51}{space 1}    0.48{col 60}{space 3}0.631{col 68}{space 4} -.727548{col 81}{space 3} 1.199793
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .0094816{col 40}{space 2} .0373957{col 51}{space 1}    0.25{col 60}{space 3}0.800{col 68}{space 4}-.0638125{col 81}{space 3} .0827757
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0066583{col 40}{space 2} .0368292{col 51}{space 1}   -0.18{col 60}{space 3}0.857{col 68}{space 4}-.0788423{col 81}{space 3} .0655256
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .0359185{col 40}{space 2} .0456683{col 51}{space 1}    0.79{col 60}{space 3}0.432{col 68}{space 4}-.0535897{col 81}{space 3} .1254268
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.0911322{col 40}{space 2} .4060977{col 51}{space 1}   -0.22{col 60}{space 3}0.822{col 68}{space 4} -.887069{col 81}{space 3} .7048047
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1466122{col 40}{space 2} .0739009{col 51}{space 1}    1.98{col 60}{space 3}0.047{col 68}{space 4}  .001769{col 81}{space 3} .2914553
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .3829915{col 40}{space 2} .5013625{col 51}{space 1}    0.76{col 60}{space 3}0.445{col 68}{space 4}-.5996609{col 81}{space 3} 1.365644
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-1.511841{col 40}{space 2} .2513006{col 51}{space 1}   -6.02{col 60}{space 3}0.000{col 68}{space 4}-2.004382{col 81}{space 3}-1.019301
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2} .1951217{col 40}{space 2} .0423186{col 51}{space 1}    4.61{col 60}{space 3}0.000{col 68}{space 4} .1121788{col 81}{space 3} .2780646
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2} -.006749{col 40}{space 2} .0019471{col 51}{space 1}   -3.47{col 60}{space 3}0.001{col 68}{space 4}-.0105652{col 81}{space 3}-.0029327
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-4.589907{col 40}{space 2} 1.610487{col 51}{space 1}   -2.85{col 60}{space 3}0.004{col 68}{space 4}-7.746404{col 81}{space 3}-1.433411
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 3 failures and 0 successes completely determined.{p_end}

{com}. outreg2 using Table26 , word label title(Table 26: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table26.rtf"'"':Table26.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table26.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table26 , word label title(Table 26: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table26.rtf"'"':Table26.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table26.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -319.6971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-229.60802}  
Iteration 2:{space 3}log pseudolikelihood = {res:-213.33491}  
Iteration 3:{space 3}log pseudolikelihood = {res: -211.8233}  
Iteration 4:{space 3}log pseudolikelihood = {res:-211.81858}  
Iteration 5:{space 3}log pseudolikelihood = {res:-211.81857}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       664
{txt}{col 51}Wald chi2({res}25{txt}){col 67}= {res}    121.51
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-211.81857{txt}{col 51}Pseudo R2{col 67}= {res}    0.3374

{txt}{ralign 92:(Std. Err. adjusted for {res:213} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2}-.0160086{col 40}{space 2} .3519729{col 51}{space 1}   -0.05{col 60}{space 3}0.964{col 68}{space 4}-.7058629{col 81}{space 3} .6738457
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2} .1875548{col 40}{space 2} .3147358{col 51}{space 1}    0.60{col 60}{space 3}0.551{col 68}{space 4} -.429316{col 81}{space 3} .8044256
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-.4778786{col 40}{space 2} .8384175{col 51}{space 1}   -0.57{col 60}{space 3}0.569{col 68}{space 4}-2.121147{col 81}{space 3}  1.16539
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .7127376{col 40}{space 2} .5076951{col 51}{space 1}    1.40{col 60}{space 3}0.160{col 68}{space 4}-.2823265{col 81}{space 3} 1.707802
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.9311266{col 40}{space 2} 1.237857{col 51}{space 1}   -0.75{col 60}{space 3}0.452{col 68}{space 4}-3.357283{col 81}{space 3}  1.49503
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 1.271678{col 40}{space 2} .6268887{col 51}{space 1}    2.03{col 60}{space 3}0.043{col 68}{space 4} .0429991{col 81}{space 3} 2.500358
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 1.649733{col 40}{space 2} .8958575{col 51}{space 1}    1.84{col 60}{space 3}0.066{col 68}{space 4}-.1061158{col 81}{space 3} 3.405581
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.8229435{col 40}{space 2} .7854051{col 51}{space 1}   -1.05{col 60}{space 3}0.295{col 68}{space 4}-2.362309{col 81}{space 3} .7164223
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0098986{col 40}{space 2} .0752555{col 51}{space 1}   -0.13{col 60}{space 3}0.895{col 68}{space 4}-.1573967{col 81}{space 3} .1375994
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0955766{col 40}{space 2}  .071112{col 51}{space 1}    1.34{col 60}{space 3}0.179{col 68}{space 4}-.0438003{col 81}{space 3} .2349535
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.2277946{col 40}{space 2} .6131095{col 51}{space 1}   -0.37{col 60}{space 3}0.710{col 68}{space 4}-1.429467{col 81}{space 3} .9738779
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} 1.080618{col 40}{space 2} .4656034{col 51}{space 1}    2.32{col 60}{space 3}0.020{col 68}{space 4} .1680525{col 81}{space 3} 1.993184
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.408111{col 40}{space 2} 1.006957{col 51}{space 1}    2.39{col 60}{space 3}0.017{col 68}{space 4}  .434512{col 81}{space 3}  4.38171
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.6241534{col 40}{space 2} .3921511{col 51}{space 1}   -1.59{col 60}{space 3}0.111{col 68}{space 4}-1.392755{col 81}{space 3} .1444487
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 28.28449{col 40}{space 2} 31.06137{col 51}{space 1}    0.91{col 60}{space 3}0.363{col 68}{space 4}-32.59468{col 81}{space 3} 89.16366
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}  1.18827{col 40}{space 2} .5177177{col 51}{space 1}    2.30{col 60}{space 3}0.022{col 68}{space 4} .1735624{col 81}{space 3} 2.202978
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1560667{col 40}{space 2}  .046339{col 51}{space 1}   -3.37{col 60}{space 3}0.001{col 68}{space 4}-.2468894{col 81}{space 3} -.065244
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1022029{col 40}{space 2} .0457027{col 51}{space 1}   -2.24{col 60}{space 3}0.025{col 68}{space 4}-.1917784{col 81}{space 3}-.0126273
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0744679{col 40}{space 2} .0443292{col 51}{space 1}   -1.68{col 60}{space 3}0.093{col 68}{space 4}-.1613516{col 81}{space 3} .0124158
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.6462018{col 40}{space 2} .4862119{col 51}{space 1}   -1.33{col 60}{space 3}0.184{col 68}{space 4} -1.59916{col 81}{space 3} .3067561
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  -.02608{col 40}{space 2} .0943873{col 51}{space 1}   -0.28{col 60}{space 3}0.782{col 68}{space 4}-.2110756{col 81}{space 3} .1589156
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .9894109{col 40}{space 2} .5352871{col 51}{space 1}    1.85{col 60}{space 3}0.065{col 68}{space 4}-.0597325{col 81}{space 3} 2.038554
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2}-1.129786{col 40}{space 2} .1953783{col 51}{space 1}   -5.78{col 60}{space 3}0.000{col 68}{space 4} -1.51272{col 81}{space 3} -.746851
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} .1014555{col 40}{space 2} .0230378{col 51}{space 1}    4.40{col 60}{space 3}0.000{col 68}{space 4} .0563021{col 81}{space 3} .1466088
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}  -.00237{col 40}{space 2} .0007122{col 51}{space 1}   -3.33{col 60}{space 3}0.001{col 68}{space 4}-.0037658{col 81}{space 3}-.0009741
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3788649{col 40}{space 2} 1.078133{col 51}{space 1}    0.35{col 60}{space 3}0.725{col 68}{space 4}-1.734236{col 81}{space 3} 2.491966
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table26 , word label title(Table 26: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table26.rtf"'"':Table26.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table26.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table26 , word label title(Table 26: Executive Threats and Graduate Education) bdec(3)
{txt}{stata `"shellout using `"Table26.rtf"'"':Table26.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table26.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 27****
. *Model 1*
. logit ExecThreat SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-242.30766}  
Iteration 1:{space 3}log pseudolikelihood = {res:-126.96878}  
Iteration 2:{space 3}log pseudolikelihood = {res:-118.85849}  
Iteration 3:{space 3}log pseudolikelihood = {res:-118.38229}  
Iteration 4:{space 3}log pseudolikelihood = {res:-118.38086}  
Iteration 5:{space 3}log pseudolikelihood = {res:-118.38086}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       407
{txt}{col 51}Wald chi2({res}26{txt}){col 67}= {res}    142.02
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-118.38086{txt}{col 51}Pseudo R2{col 67}= {res}    0.5114

{txt}{ralign 92:(Std. Err. adjusted for {res:118} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2}-.9805225{col 40}{space 2} .4387482{col 51}{space 1}   -2.23{col 60}{space 3}0.025{col 68}{space 4}-1.840453{col 81}{space 3}-.1205918
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2} 1.149024{col 40}{space 2} .4434292{col 51}{space 1}    2.59{col 60}{space 3}0.010{col 68}{space 4} .2799191{col 81}{space 3}  2.01813
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .3638517{col 40}{space 2} .2069722{col 51}{space 1}    1.76{col 60}{space 3}0.079{col 68}{space 4}-.0418064{col 81}{space 3} .7695098
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}  4.00052{col 40}{space 2} 1.593099{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .8781045{col 81}{space 3} 7.122936
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.0711873{col 40}{space 2} .7333025{col 51}{space 1}   -0.10{col 60}{space 3}0.923{col 68}{space 4}-1.508434{col 81}{space 3} 1.366059
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} -1.17029{col 40}{space 2} 1.096038{col 51}{space 1}   -1.07{col 60}{space 3}0.286{col 68}{space 4}-3.318485{col 81}{space 3} .9779055
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-1.638039{col 40}{space 2} .6730515{col 51}{space 1}   -2.43{col 60}{space 3}0.015{col 68}{space 4}-2.957196{col 81}{space 3}-.3188823
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -1.79435{col 40}{space 2} 1.186903{col 51}{space 1}   -1.51{col 60}{space 3}0.131{col 68}{space 4}-4.120636{col 81}{space 3} .5319364
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.113038{col 40}{space 2} .9929378{col 51}{space 1}    1.12{col 60}{space 3}0.262{col 68}{space 4}-.8330841{col 81}{space 3} 3.059161
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0176855{col 40}{space 2} .1054086{col 51}{space 1}   -0.17{col 60}{space 3}0.867{col 68}{space 4}-.2242825{col 81}{space 3} .1889116
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1967504{col 40}{space 2} .0822096{col 51}{space 1}    2.39{col 60}{space 3}0.017{col 68}{space 4} .0356226{col 81}{space 3} .3578782
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-1.824155{col 40}{space 2} 1.215623{col 51}{space 1}   -1.50{col 60}{space 3}0.133{col 68}{space 4}-4.206732{col 81}{space 3} .5584225
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} -.141299{col 40}{space 2} .5362712{col 51}{space 1}   -0.26{col 60}{space 3}0.792{col 68}{space 4}-1.192371{col 81}{space 3} .9097733
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.0742021{col 40}{space 2} .9640073{col 51}{space 1}   -0.08{col 60}{space 3}0.939{col 68}{space 4}-1.963622{col 81}{space 3} 1.815217
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .6786147{col 40}{space 2} .8068098{col 51}{space 1}    0.84{col 60}{space 3}0.400{col 68}{space 4}-.9027034{col 81}{space 3} 2.259933
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-28.80034{col 40}{space 2} 37.80004{col 51}{space 1}   -0.76{col 60}{space 3}0.446{col 68}{space 4}-102.8871{col 81}{space 3} 45.28639
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} .7254874{col 40}{space 2}  .629492{col 51}{space 1}    1.15{col 60}{space 3}0.249{col 68}{space 4}-.5082943{col 81}{space 3} 1.959269
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .0844086{col 40}{space 2} .1407773{col 51}{space 1}    0.60{col 60}{space 3}0.549{col 68}{space 4}-.1915099{col 81}{space 3} .3603271
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1810235{col 40}{space 2} .0813895{col 51}{space 1}   -2.22{col 60}{space 3}0.026{col 68}{space 4} -.340544{col 81}{space 3}-.0215031
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .1462934{col 40}{space 2} .0672169{col 51}{space 1}    2.18{col 60}{space 3}0.030{col 68}{space 4} .0145507{col 81}{space 3} .2780361
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .0702333{col 40}{space 2} .6853895{col 51}{space 1}    0.10{col 60}{space 3}0.918{col 68}{space 4}-1.273105{col 81}{space 3} 1.413572
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}-.1069327{col 40}{space 2} .1283617{col 51}{space 1}   -0.83{col 60}{space 3}0.405{col 68}{space 4} -.358517{col 81}{space 3} .1446516
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .5839487{col 40}{space 2} .6201421{col 51}{space 1}    0.94{col 60}{space 3}0.346{col 68}{space 4}-.6315076{col 81}{space 3} 1.799405
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-1.198248{col 40}{space 2} .2831095{col 51}{space 1}   -4.23{col 60}{space 3}0.000{col 68}{space 4}-1.753133{col 81}{space 3}-.6433638
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2} .1329218{col 40}{space 2} .0337543{col 51}{space 1}    3.94{col 60}{space 3}0.000{col 68}{space 4} .0667646{col 81}{space 3}  .199079
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2}-.0040241{col 40}{space 2} .0011684{col 51}{space 1}   -3.44{col 60}{space 3}0.001{col 68}{space 4} -.006314{col 81}{space 3}-.0017341
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.059047{col 40}{space 2} 3.078894{col 51}{space 1}   -0.67{col 60}{space 3}0.504{col 68}{space 4}-8.093567{col 81}{space 3} 3.975474
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table27 , word label title(Table 27: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table27.rtf"'"':Table27.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table27.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition  SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table27 , word label title(Table 27: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table27.rtf"'"':Table27.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table27.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: MajorSenderCost != 0 predicts failure perfectly
      MajorSenderCost dropped and 29 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 12 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-161.64683}  
Iteration 1:{space 3}log pseudolikelihood = {res: -112.8206}  
Iteration 2:{space 3}log pseudolikelihood = {res:-102.77459}  
Iteration 3:{space 3}log pseudolikelihood = {res: -101.0474}  
Iteration 4:{space 3}log pseudolikelihood = {res:-101.02875}  
Iteration 5:{space 3}log pseudolikelihood = {res:-101.02872}  
Iteration 6:{space 3}log pseudolikelihood = {res:-101.02872}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       366
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}    135.10
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-101.02872{txt}{col 51}Pseudo R2{col 67}= {res}    0.3750

{txt}{ralign 92:(Std. Err. adjusted for {res:114} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2}-.3839863{col 40}{space 2} .5519177{col 51}{space 1}   -0.70{col 60}{space 3}0.487{col 68}{space 4}-1.465725{col 81}{space 3} .6977525
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2}-1.264351{col 40}{space 2} .6577681{col 51}{space 1}   -1.92{col 60}{space 3}0.055{col 68}{space 4}-2.553552{col 81}{space 3}  .024851
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2}-.0394492{col 40}{space 2} .3521831{col 51}{space 1}   -0.11{col 60}{space 3}0.911{col 68}{space 4}-.7297154{col 81}{space 3}  .650817
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} 1.089861{col 40}{space 2} .6909276{col 51}{space 1}    1.58{col 60}{space 3}0.115{col 68}{space 4}-.2643326{col 81}{space 3} 2.444054
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.6948785{col 40}{space 2} 1.497281{col 51}{space 1}   -0.46{col 60}{space 3}0.643{col 68}{space 4}-3.629495{col 81}{space 3} 2.239738
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 1.021414{col 40}{space 2} .8637422{col 51}{space 1}    1.18{col 60}{space 3}0.237{col 68}{space 4}-.6714893{col 81}{space 3} 2.714318
{txt}{space 24}4  {c |}{col 28}{res}{space 2} .2608025{col 40}{space 2} 1.084769{col 51}{space 1}    0.24{col 60}{space 3}0.810{col 68}{space 4}-1.865305{col 81}{space 3}  2.38691
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-1.944441{col 40}{space 2} 1.440741{col 51}{space 1}   -1.35{col 60}{space 3}0.177{col 68}{space 4}-4.768241{col 81}{space 3} .8793584
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0734998{col 40}{space 2} .0944819{col 51}{space 1}   -0.78{col 60}{space 3}0.437{col 68}{space 4} -.258681{col 81}{space 3} .1116814
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1800702{col 40}{space 2} .1159617{col 51}{space 1}    1.55{col 60}{space 3}0.120{col 68}{space 4}-.0472105{col 81}{space 3} .4073508
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2} .3375958{col 40}{space 2}  .792911{col 51}{space 1}    0.43{col 60}{space 3}0.670{col 68}{space 4}-1.216481{col 81}{space 3} 1.891673
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .1432219{col 40}{space 2} .9489523{col 51}{space 1}    0.15{col 60}{space 3}0.880{col 68}{space 4} -1.71669{col 81}{space 3} 2.003134
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.502442{col 40}{space 2} 1.115927{col 51}{space 1}    1.35{col 60}{space 3}0.178{col 68}{space 4}-.6847337{col 81}{space 3} 3.689618
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 3.913115{col 40}{space 2} 46.57975{col 51}{space 1}    0.08{col 60}{space 3}0.933{col 68}{space 4}-87.38151{col 81}{space 3} 95.20774
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.879492{col 40}{space 2} 1.401913{col 51}{space 1}    1.34{col 60}{space 3}0.180{col 68}{space 4}-.8682069{col 81}{space 3} 4.627191
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0207886{col 40}{space 2} .0842726{col 51}{space 1}   -0.25{col 60}{space 3}0.805{col 68}{space 4}-.1859599{col 81}{space 3} .1443826
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}  .121015{col 40}{space 2} .0938543{col 51}{space 1}    1.29{col 60}{space 3}0.197{col 68}{space 4}-.0629361{col 81}{space 3} .3049662
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.143351{col 40}{space 2}  .083568{col 51}{space 1}   -1.72{col 60}{space 3}0.086{col 68}{space 4}-.3071413{col 81}{space 3} .0204392
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-1.567081{col 40}{space 2} .5394223{col 51}{space 1}   -2.91{col 60}{space 3}0.004{col 68}{space 4}-2.624329{col 81}{space 3}-.5098325
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0966849{col 40}{space 2} .2291074{col 51}{space 1}    0.42{col 60}{space 3}0.673{col 68}{space 4}-.3523575{col 81}{space 3} .5457272
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .5577758{col 40}{space 2} 1.058215{col 51}{space 1}    0.53{col 60}{space 3}0.598{col 68}{space 4}-1.516287{col 81}{space 3} 2.631838
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2}-.9310599{col 40}{space 2} .2217459{col 51}{space 1}   -4.20{col 60}{space 3}0.000{col 68}{space 4}-1.365674{col 81}{space 3}-.4964458
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} .0819834{col 40}{space 2} .0308101{col 51}{space 1}    2.66{col 60}{space 3}0.008{col 68}{space 4} .0215967{col 81}{space 3} .1423701
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.0019822{col 40}{space 2} .0010323{col 51}{space 1}   -1.92{col 60}{space 3}0.055{col 68}{space 4}-.0040055{col 81}{space 3} .0000411
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-7.814924{col 40}{space 2} 4.114475{col 51}{space 1}   -1.90{col 60}{space 3}0.058{col 68}{space 4}-15.87915{col 81}{space 3} .2492994
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table27 , word label title(Table 27: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table27.rtf"'"':Table27.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table27.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition  SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table27 , word label title(Table 27: Executive and Government Threats and Political Ideology) bdec(3)
{txt}{stata `"shellout using `"Table27.rtf"'"':Table27.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table27.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 28****
. *Model 1*
. logit ExecThreat AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-290.45229}  
Iteration 1:{space 3}log pseudolikelihood = {res:-185.14933}  
Iteration 2:{space 3}log pseudolikelihood = {res:-172.47863}  
Iteration 3:{space 3}log pseudolikelihood = {res:-168.40637}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -168.057}  
Iteration 5:{space 3}log pseudolikelihood = {res:-168.05503}  
Iteration 6:{space 3}log pseudolikelihood = {res:-168.05503}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}    105.34
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-168.05503{txt}{col 51}Pseudo R2{col 67}= {res}    0.4214

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2}-.0027034{col 40}{space 2} .0071572{col 51}{space 1}   -0.38{col 60}{space 3}0.706{col 68}{space 4}-.0167311{col 81}{space 3} .0113244
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.443947{col 40}{space 2} 1.115431{col 51}{space 1}    2.19{col 60}{space 3}0.028{col 68}{space 4} .2577426{col 81}{space 3} 4.630151
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.587831{col 40}{space 2} .7137511{col 51}{space 1}   -0.82{col 60}{space 3}0.410{col 68}{space 4}-1.986757{col 81}{space 3} .8110956
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} .0948949{col 40}{space 2} .9030146{col 51}{space 1}    0.11{col 60}{space 3}0.916{col 68}{space 4}-1.674981{col 81}{space 3} 1.864771
{txt}{space 24}3  {c |}{col 28}{res}{space 2} -1.65273{col 40}{space 2} .5278106{col 51}{space 1}   -3.13{col 60}{space 3}0.002{col 68}{space 4} -2.68722{col 81}{space 3}-.6182406
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.309978{col 40}{space 2} 1.064718{col 51}{space 1}   -1.23{col 60}{space 3}0.219{col 68}{space 4}-3.396786{col 81}{space 3} .7768304
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.888826{col 40}{space 2} .7896663{col 51}{space 1}    2.39{col 60}{space 3}0.017{col 68}{space 4} .3411087{col 81}{space 3} 3.436544
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0586934{col 40}{space 2} .0901151{col 51}{space 1}   -0.65{col 60}{space 3}0.515{col 68}{space 4}-.2353158{col 81}{space 3} .1179289
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1793562{col 40}{space 2} .0731665{col 51}{space 1}    2.45{col 60}{space 3}0.014{col 68}{space 4} .0359525{col 81}{space 3} .3227599
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-1.833104{col 40}{space 2} 1.032017{col 51}{space 1}   -1.78{col 60}{space 3}0.076{col 68}{space 4} -3.85582{col 81}{space 3} .1896123
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}  -.41155{col 40}{space 2} .5265326{col 51}{space 1}   -0.78{col 60}{space 3}0.434{col 68}{space 4}-1.443535{col 81}{space 3} .6204349
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-1.061831{col 40}{space 2} .6747527{col 51}{space 1}   -1.57{col 60}{space 3}0.116{col 68}{space 4}-2.384322{col 81}{space 3} .2606604
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.619973{col 40}{space 2}  .541571{col 51}{space 1}    2.99{col 60}{space 3}0.003{col 68}{space 4} .5585132{col 81}{space 3} 2.681433
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-25.30874{col 40}{space 2} 36.51168{col 51}{space 1}   -0.69{col 60}{space 3}0.488{col 68}{space 4}-96.87033{col 81}{space 3} 46.25284
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.1244301{col 40}{space 2} .5678861{col 51}{space 1}   -0.22{col 60}{space 3}0.827{col 68}{space 4}-1.237466{col 81}{space 3} .9886063
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .0109253{col 40}{space 2} .0434628{col 51}{space 1}    0.25{col 60}{space 3}0.802{col 68}{space 4}-.0742603{col 81}{space 3} .0961108
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0056952{col 40}{space 2} .0448049{col 51}{space 1}    0.13{col 60}{space 3}0.899{col 68}{space 4}-.0821207{col 81}{space 3} .0935111
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .0743267{col 40}{space 2} .0509769{col 51}{space 1}    1.46{col 60}{space 3}0.145{col 68}{space 4}-.0255863{col 81}{space 3} .1742397
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.3463834{col 40}{space 2} .4534792{col 51}{space 1}   -0.76{col 60}{space 3}0.445{col 68}{space 4}-1.235186{col 81}{space 3} .5424195
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1235332{col 40}{space 2} .0819063{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-.0370002{col 81}{space 3} .2840666
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .9337831{col 40}{space 2} .6277905{col 51}{space 1}    1.49{col 60}{space 3}0.137{col 68}{space 4}-.2966637{col 81}{space 3}  2.16423
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-1.640993{col 40}{space 2} .3252821{col 51}{space 1}   -5.04{col 60}{space 3}0.000{col 68}{space 4}-2.278534{col 81}{space 3}-1.003452
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2}  .223654{col 40}{space 2} .0525781{col 51}{space 1}    4.25{col 60}{space 3}0.000{col 68}{space 4} .1206027{col 81}{space 3} .3267052
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2}-.0079965{col 40}{space 2}  .002353{col 51}{space 1}   -3.40{col 60}{space 3}0.001{col 68}{space 4}-.0126083{col 81}{space 3}-.0033847
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-3.599324{col 40}{space 2}  2.06536{col 51}{space 1}   -1.74{col 60}{space 3}0.081{col 68}{space 4}-7.647354{col 81}{space 3} .4487065
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 4 failures and 0 successes completely determined.{p_end}

{com}. outreg2 using Table28 , word label title(Table 28: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table28.rtf"'"':Table28.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table28.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition  AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0070939{col 29}{space 2} .0050214{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} -.002748{col 70}{space 3} .0169357
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table28, word label title(Table 28: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table28.rtf"'"':Table28.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table28.txt", label"':seeout}

{com}. 
. *Model 3
. logit GovtThreat AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-256.75535}  
Iteration 1:{space 3}log pseudolikelihood = {res:-185.37288}  
Iteration 2:{space 3}log pseudolikelihood = {res:-171.26868}  
Iteration 3:{space 3}log pseudolikelihood = {res:-170.19895}  
Iteration 4:{space 3}log pseudolikelihood = {res: -170.1951}  
Iteration 5:{space 3}log pseudolikelihood = {res: -170.1951}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}     84.88
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -170.1951{txt}{col 51}Pseudo R2{col 67}= {res}    0.3371

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2}-.0008427{col 40}{space 2} .0077495{col 51}{space 1}   -0.11{col 60}{space 3}0.913{col 68}{space 4}-.0160314{col 81}{space 3} .0143459
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .1192722{col 40}{space 2} 1.017737{col 51}{space 1}    0.12{col 60}{space 3}0.907{col 68}{space 4}-1.875455{col 81}{space 3}    2.114
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .6972467{col 40}{space 2} .5301917{col 51}{space 1}    1.32{col 60}{space 3}0.188{col 68}{space 4}  -.34191{col 81}{space 3} 1.736403
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.138404{col 40}{space 2} 1.346932{col 51}{space 1}   -0.85{col 60}{space 3}0.398{col 68}{space 4}-3.778342{col 81}{space 3} 1.501533
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 1.370831{col 40}{space 2} .6991727{col 51}{space 1}    1.96{col 60}{space 3}0.050{col 68}{space 4} .0004781{col 81}{space 3} 2.741185
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 1.189331{col 40}{space 2}  .950329{col 51}{space 1}    1.25{col 60}{space 3}0.211{col 68}{space 4}-.6732791{col 81}{space 3} 3.051942
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-1.994082{col 40}{space 2} 1.174108{col 51}{space 1}   -1.70{col 60}{space 3}0.089{col 68}{space 4}-4.295291{col 81}{space 3} .3071276
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0846505{col 40}{space 2} .0907034{col 51}{space 1}   -0.93{col 60}{space 3}0.351{col 68}{space 4}-.2624258{col 81}{space 3} .0931249
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1214019{col 40}{space 2} .0787085{col 51}{space 1}    1.54{col 60}{space 3}0.123{col 68}{space 4} -.032864{col 81}{space 3} .2756677
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .5198246{col 40}{space 2} .9791991{col 51}{space 1}    0.53{col 60}{space 3}0.596{col 68}{space 4} -1.39937{col 81}{space 3}  2.43902
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .5438068{col 40}{space 2} .5038768{col 51}{space 1}    1.08{col 60}{space 3}0.280{col 68}{space 4}-.4437736{col 81}{space 3} 1.531387
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.814897{col 40}{space 2} .9096232{col 51}{space 1}    2.00{col 60}{space 3}0.046{col 68}{space 4} .0320684{col 81}{space 3} 3.597726
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5374294{col 40}{space 2} .6019905{col 51}{space 1}   -0.89{col 60}{space 3}0.372{col 68}{space 4}-1.717309{col 81}{space 3} .6424503
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}  40.0421{col 40}{space 2} 35.03884{col 51}{space 1}    1.14{col 60}{space 3}0.253{col 68}{space 4}-28.63277{col 81}{space 3}  108.717
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.038423{col 40}{space 2} .5462618{col 51}{space 1}    1.90{col 60}{space 3}0.057{col 68}{space 4}-.0322305{col 81}{space 3} 2.109077
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1029038{col 40}{space 2}  .050134{col 51}{space 1}   -2.05{col 60}{space 3}0.040{col 68}{space 4}-.2011647{col 81}{space 3} -.004643
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0554973{col 40}{space 2} .0496186{col 51}{space 1}   -1.12{col 60}{space 3}0.263{col 68}{space 4}-.1527479{col 81}{space 3} .0417534
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1154652{col 40}{space 2} .0483386{col 51}{space 1}   -2.39{col 60}{space 3}0.017{col 68}{space 4} -.210207{col 81}{space 3}-.0207233
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.9155613{col 40}{space 2} .4985712{col 51}{space 1}   -1.84{col 60}{space 3}0.066{col 68}{space 4}-1.892743{col 81}{space 3} .0616203
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0127782{col 40}{space 2} .1090102{col 51}{space 1}    0.12{col 60}{space 3}0.907{col 68}{space 4}-.2008779{col 81}{space 3} .2264344
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .3236361{col 40}{space 2} .6302421{col 51}{space 1}    0.51{col 60}{space 3}0.608{col 68}{space 4}-.9116158{col 81}{space 3} 1.558888
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2}-1.276384{col 40}{space 2} .2365462{col 51}{space 1}   -5.40{col 60}{space 3}0.000{col 68}{space 4}-1.740006{col 81}{space 3}-.8127618
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} .1166307{col 40}{space 2} .0242524{col 51}{space 1}    4.81{col 60}{space 3}0.000{col 68}{space 4} .0690969{col 81}{space 3} .1641645
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.0026714{col 40}{space 2} .0006383{col 51}{space 1}   -4.19{col 60}{space 3}0.000{col 68}{space 4}-.0039224{col 81}{space 3}-.0014203
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .2783978{col 40}{space 2} 2.006903{col 51}{space 1}    0.14{col 60}{space 3}0.890{col 68}{space 4}-3.655061{col 81}{space 3} 4.211856
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table28 , word label title(Table 28: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table28.rtf"'"':Table28.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table28.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition  AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0070939{col 29}{space 2} .0050214{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} -.002748{col 70}{space 3} .0169357
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table28 , word label title(Table 28: Executive and Government Threats and Restrictions) bdec(3)
{txt}{stata `"shellout using `"Table28.rtf"'"':Table28.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table28.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 29****
. *Model 1*
. logit ExecThreat FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_exec threat_years2_exec threat_years3_exec, iterate(10) cluster(dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-301.97346}  
Iteration 1:{space 3}log pseudolikelihood = {res:-182.66779}  
Iteration 2:{space 3}log pseudolikelihood = {res:-172.03591}  
Iteration 3:{space 3}log pseudolikelihood = {res:-171.11807}  
Iteration 4:{space 3}log pseudolikelihood = {res:-170.93998}  
Iteration 5:{space 3}log pseudolikelihood = {res:-170.93723}  
Iteration 6:{space 3}log pseudolikelihood = {res:-170.93723}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}    105.97
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-170.93723{txt}{col 51}Pseudo R2{col 67}= {res}    0.4339

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                ExecThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2} .0446911{col 40}{space 2}  .122462{col 51}{space 1}    0.36{col 60}{space 3}0.715{col 68}{space 4}  -.19533{col 81}{space 3} .2847123
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 3.346884{col 40}{space 2} 1.114558{col 51}{space 1}    3.00{col 60}{space 3}0.003{col 68}{space 4} 1.162391{col 81}{space 3} 5.531377
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.6224126{col 40}{space 2} .6599066{col 51}{space 1}   -0.94{col 60}{space 3}0.346{col 68}{space 4}-1.915806{col 81}{space 3} .6709806
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-.2099811{col 40}{space 2} .9661875{col 51}{space 1}   -0.22{col 60}{space 3}0.828{col 68}{space 4}-2.103674{col 81}{space 3} 1.683712
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-1.606389{col 40}{space 2} .5239178{col 51}{space 1}   -3.07{col 60}{space 3}0.002{col 68}{space 4}-2.633249{col 81}{space 3} -.579529
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-.9267305{col 40}{space 2}  .897771{col 51}{space 1}   -1.03{col 60}{space 3}0.302{col 68}{space 4}-2.686329{col 81}{space 3} .8328683
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  1.46573{col 40}{space 2} .8183538{col 51}{space 1}    1.79{col 60}{space 3}0.073{col 68}{space 4}-.1382137{col 81}{space 3} 3.069674
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0335675{col 40}{space 2} .0823128{col 51}{space 1}   -0.41{col 60}{space 3}0.683{col 68}{space 4}-.1948977{col 81}{space 3} .1277626
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1572905{col 40}{space 2} .0796267{col 51}{space 1}    1.98{col 60}{space 3}0.048{col 68}{space 4} .0012251{col 81}{space 3} .3133559
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.5375546{col 40}{space 2} .5087903{col 51}{space 1}   -1.06{col 60}{space 3}0.291{col 68}{space 4}-1.534765{col 81}{space 3}  .459656
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}-.7818265{col 40}{space 2} .6454917{col 51}{space 1}   -1.21{col 60}{space 3}0.226{col 68}{space 4}-2.046967{col 81}{space 3} .4833139
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.201964{col 40}{space 2} .6530397{col 51}{space 1}    1.84{col 60}{space 3}0.066{col 68}{space 4}-.0779707{col 81}{space 3} 2.481898
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-17.80513{col 40}{space 2}  35.4331{col 51}{space 1}   -0.50{col 60}{space 3}0.615{col 68}{space 4}-87.25273{col 81}{space 3} 51.64247
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.2260278{col 40}{space 2} .5948698{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4}-1.391951{col 81}{space 3} .9398956
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0067702{col 40}{space 2} .0477761{col 51}{space 1}   -0.14{col 60}{space 3}0.887{col 68}{space 4}-.1004096{col 81}{space 3} .0868693
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0387914{col 40}{space 2} .0521728{col 51}{space 1}   -0.74{col 60}{space 3}0.457{col 68}{space 4}-.1410481{col 81}{space 3} .0634654
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .0826111{col 40}{space 2} .0524549{col 51}{space 1}    1.57{col 60}{space 3}0.115{col 68}{space 4}-.0201987{col 81}{space 3} .1854208
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.2831375{col 40}{space 2} .4602969{col 51}{space 1}   -0.62{col 60}{space 3}0.538{col 68}{space 4}-1.185303{col 81}{space 3} .6190278
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1615958{col 40}{space 2} .0963322{col 51}{space 1}    1.68{col 60}{space 3}0.093{col 68}{space 4}-.0272118{col 81}{space 3} .3504034
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .2777834{col 40}{space 2} .6665954{col 51}{space 1}    0.42{col 60}{space 3}0.677{col 68}{space 4} -1.02872{col 81}{space 3} 1.584286
{txt}{space 9}threat_years_exec {c |}{col 28}{res}{space 2}-1.307548{col 40}{space 2} .2591094{col 51}{space 1}   -5.05{col 60}{space 3}0.000{col 68}{space 4}-1.815393{col 81}{space 3}-.7997028
{txt}{space 8}threat_years2_exec {c |}{col 28}{res}{space 2} .1601508{col 40}{space 2} .0431322{col 51}{space 1}    3.71{col 60}{space 3}0.000{col 68}{space 4} .0756132{col 81}{space 3} .2446884
{txt}{space 8}threat_years3_exec {c |}{col 28}{res}{space 2}-.0051887{col 40}{space 2} .0019572{col 51}{space 1}   -2.65{col 60}{space 3}0.008{col 68}{space 4}-.0090248{col 81}{space 3}-.0013525
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-4.222375{col 40}{space 2} 2.182586{col 51}{space 1}   -1.93{col 60}{space 3}0.053{col 68}{space 4}-8.500166{col 81}{space 3} .0554151
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. outreg2 using Table29 , word label title(Table 29: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table29.rtf"'"':Table29.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table29.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition  FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-469.78473}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.81305}  
Iteration 3:{space 3}log pseudolikelihood = {res:-468.80976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-468.80976}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       824
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.68
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-468.80976{txt}{col 51}Pseudo R2{col 67}= {res}    0.0928

{txt}{ralign 79:(Std. Err. adjusted for {res:226} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1570316{col 27}{space 2} .0633176{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0329314{col 68}{space 3} .2811317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4977986{col 27}{space 2} .8895492{col 38}{space 1}    0.56{col 47}{space 3}0.576{col 55}{space 4}-1.245686{col 68}{space 3} 2.241283
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .3736507{col 27}{space 2} .2566823{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.1294374{col 68}{space 3} .8767387
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.254141{col 27}{space 2} .3889421{col 38}{space 1}   -3.22{col 47}{space 3}0.001{col 55}{space 4}-2.016453{col 68}{space 3}-.4918283
{txt}igomember_log {c |}{col 15}{res}{space 2} .8750323{col 27}{space 2}    .4971{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.0992658{col 68}{space 3}  1.84933
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.983304{col 27}{space 2}  9.67426{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-27.94451{col 68}{space 3} 9.977897
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.018889{col 27}{space 2}  .397251{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .2402914{col 68}{space 3} 1.797487
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0086126{col 27}{space 2} .0329871{col 38}{space 1}   -0.26{col 47}{space 3}0.794{col 55}{space 4}-.0732662{col 68}{space 3}  .056041
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0315902{col 27}{space 2} .0308581{col 38}{space 1}    1.02{col 47}{space 3}0.306{col 55}{space 4}-.0288906{col 68}{space 3}  .092071
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0609774{col 27}{space 2} .0384475{col 38}{space 1}    1.59{col 47}{space 3}0.113{col 55}{space 4}-.0143783{col 68}{space 3}  .136333
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1241553{col 27}{space 2} .3106694{col 38}{space 1}   -0.40{col 47}{space 3}0.689{col 55}{space 4} -.733056{col 68}{space 3} .4847455
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2076663{col 27}{space 2} .0771444{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.3588665{col 68}{space 3} -.056466
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} -.292859{col 27}{space 2} .4633868{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4} -1.20108{col 68}{space 3} .6153623
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.813812{col 27}{space 2} 1.729668{col 38}{space 1}   -2.20{col 47}{space 3}0.027{col 55}{space 4}-7.203899{col 68}{space 3}-.4237259
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table29 , word label title(Table 29: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table29.rtf"'"':Table29.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table29.txt", label"':seeout}

{com}. 
. *Model 3*
. logit GovtThreat FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_govt threat_years2_govt threat_years3_govt, iterate(10) cluster(dyadid)

{txt}note: 2.n_threatenedtargetinterest != 0 predicts failure perfectly
      2.n_threatenedtargetinterest dropped and 27 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -235.3899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-174.54378}  
Iteration 2:{space 3}log pseudolikelihood = {res:-163.73572}  
Iteration 3:{space 3}log pseudolikelihood = {res:-162.51918}  
Iteration 4:{space 3}log pseudolikelihood = {res:-162.51039}  
Iteration 5:{space 3}log pseudolikelihood = {res:-162.51038}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       484
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     83.53
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-162.51038{txt}{col 51}Pseudo R2{col 67}= {res}    0.3096

{txt}{ralign 92:(Std. Err. adjusted for {res:157} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                GovtThreat{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2} .1284637{col 40}{space 2} .1345036{col 51}{space 1}    0.96{col 60}{space 3}0.340{col 68}{space 4}-.1351585{col 81}{space 3} .3920859
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-.9227663{col 40}{space 2} 1.021295{col 51}{space 1}   -0.90{col 60}{space 3}0.366{col 68}{space 4}-2.924467{col 81}{space 3} 1.078934
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .7088781{col 40}{space 2} .5861985{col 51}{space 1}    1.21{col 60}{space 3}0.227{col 68}{space 4}-.4400498{col 81}{space 3} 1.857806
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 24}3  {c |}{col 28}{res}{space 2} 1.040979{col 40}{space 2} .6065807{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4}-.1478972{col 81}{space 3} 2.229855
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 1.070172{col 40}{space 2} .9785694{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-.8477885{col 81}{space 3} 2.988133
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-2.037982{col 40}{space 2} 1.345327{col 51}{space 1}   -1.51{col 60}{space 3}0.130{col 68}{space 4}-4.674776{col 81}{space 3} .5988109
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0597593{col 40}{space 2} .0966296{col 51}{space 1}   -0.62{col 60}{space 3}0.536{col 68}{space 4}-.2491498{col 81}{space 3} .1296312
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1914939{col 40}{space 2} .0945447{col 51}{space 1}    2.03{col 60}{space 3}0.043{col 68}{space 4} .0061898{col 81}{space 3} .3767981
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}  .767128{col 40}{space 2} .4855384{col 51}{space 1}    1.58{col 60}{space 3}0.114{col 68}{space 4}-.1845097{col 81}{space 3} 1.718766
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .6551422{col 40}{space 2} .9012491{col 51}{space 1}    0.73{col 60}{space 3}0.467{col 68}{space 4}-1.111274{col 81}{space 3} 2.421558
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.1692629{col 40}{space 2} .7396894{col 51}{space 1}   -0.23{col 60}{space 3}0.819{col 68}{space 4}-1.619028{col 81}{space 3} 1.280502
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2} 14.99457{col 40}{space 2} 37.17794{col 51}{space 1}    0.40{col 60}{space 3}0.687{col 68}{space 4}-57.87285{col 81}{space 3}   87.862
{txt}{space 18}ussender {c |}{col 28}{res}{space 2} 1.046123{col 40}{space 2}  .744573{col 51}{space 1}    1.40{col 60}{space 3}0.160{col 68}{space 4}-.4132136{col 81}{space 3} 2.505459
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0407104{col 40}{space 2} .0562023{col 51}{space 1}   -0.72{col 60}{space 3}0.469{col 68}{space 4}-.1508649{col 81}{space 3} .0694441
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .0052565{col 40}{space 2} .0611265{col 51}{space 1}    0.09{col 60}{space 3}0.931{col 68}{space 4}-.1145493{col 81}{space 3} .1250622
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0876918{col 40}{space 2} .0537779{col 51}{space 1}   -1.63{col 60}{space 3}0.103{col 68}{space 4}-.1930946{col 81}{space 3} .0177111
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.8059761{col 40}{space 2} .4804613{col 51}{space 1}   -1.68{col 60}{space 3}0.093{col 68}{space 4}-1.747663{col 81}{space 3} .1357108
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}-.0856983{col 40}{space 2} .1315492{col 51}{space 1}   -0.65{col 60}{space 3}0.515{col 68}{space 4}-.3435301{col 81}{space 3} .1721335
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} 1.038101{col 40}{space 2} .6862436{col 51}{space 1}    1.51{col 60}{space 3}0.130{col 68}{space 4}-.3069117{col 81}{space 3} 2.383114
{txt}{space 9}threat_years_govt {c |}{col 28}{res}{space 2}-1.161415{col 40}{space 2} .2241062{col 51}{space 1}   -5.18{col 60}{space 3}0.000{col 68}{space 4}-1.600655{col 81}{space 3}-.7221747
{txt}{space 8}threat_years2_govt {c |}{col 28}{res}{space 2} .1061026{col 40}{space 2} .0228989{col 51}{space 1}    4.63{col 60}{space 3}0.000{col 68}{space 4} .0612217{col 81}{space 3} .1509835
{txt}{space 8}threat_years3_govt {c |}{col 28}{res}{space 2}-.0025075{col 40}{space 2} .0006004{col 51}{space 1}   -4.18{col 60}{space 3}0.000{col 68}{space 4}-.0036842{col 81}{space 3}-.0013308
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-1.171593{col 40}{space 2} 2.604609{col 51}{space 1}   -0.45{col 60}{space 3}0.653{col 68}{space 4}-6.276533{col 81}{space 3} 3.933346
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table29 , word label title(Table 29: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table29.rtf"'"':Table29.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table29.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition  FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-469.78473}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.81305}  
Iteration 3:{space 3}log pseudolikelihood = {res:-468.80976}  
Iteration 4:{space 3}log pseudolikelihood = {res:-468.80976}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       824
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.68
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-468.80976{txt}{col 51}Pseudo R2{col 67}= {res}    0.0928

{txt}{ralign 79:(Std. Err. adjusted for {res:226} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1570316{col 27}{space 2} .0633176{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4} .0329314{col 68}{space 3} .2811317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4977986{col 27}{space 2} .8895492{col 38}{space 1}    0.56{col 47}{space 3}0.576{col 55}{space 4}-1.245686{col 68}{space 3} 2.241283
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .3736507{col 27}{space 2} .2566823{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.1294374{col 68}{space 3} .8767387
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.254141{col 27}{space 2} .3889421{col 38}{space 1}   -3.22{col 47}{space 3}0.001{col 55}{space 4}-2.016453{col 68}{space 3}-.4918283
{txt}igomember_log {c |}{col 15}{res}{space 2} .8750323{col 27}{space 2}    .4971{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.0992658{col 68}{space 3}  1.84933
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.983304{col 27}{space 2}  9.67426{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-27.94451{col 68}{space 3} 9.977897
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.018889{col 27}{space 2}  .397251{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .2402914{col 68}{space 3} 1.797487
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0086126{col 27}{space 2} .0329871{col 38}{space 1}   -0.26{col 47}{space 3}0.794{col 55}{space 4}-.0732662{col 68}{space 3}  .056041
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0315902{col 27}{space 2} .0308581{col 38}{space 1}    1.02{col 47}{space 3}0.306{col 55}{space 4}-.0288906{col 68}{space 3}  .092071
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0609774{col 27}{space 2} .0384475{col 38}{space 1}    1.59{col 47}{space 3}0.113{col 55}{space 4}-.0143783{col 68}{space 3}  .136333
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1241553{col 27}{space 2} .3106694{col 38}{space 1}   -0.40{col 47}{space 3}0.689{col 55}{space 4} -.733056{col 68}{space 3} .4847455
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2076663{col 27}{space 2} .0771444{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.3588665{col 68}{space 3} -.056466
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} -.292859{col 27}{space 2} .4633868{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4} -1.20108{col 68}{space 3} .6153623
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.813812{col 27}{space 2} 1.729668{col 38}{space 1}   -2.20{col 47}{space 3}0.027{col 55}{space 4}-7.203899{col 68}{space 3}-.4237259
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table30 , word label title(Table 29: Executive and Government Threats and Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table30.rtf"'"':Table30.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table30.txt", label"':seeout}

{com}. 
. 
. 
. *******************************Table 18 Interaction Models******************************
. ****Table 18****
. *Models 1 and 2* 
. heckprob imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat= sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy c.TestMyNeoliberal##i.BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-522.58344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.16372}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.16358}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.16358}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res: -5924.283}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4411.8456}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4391.2255}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4391.1562}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4391.1562}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -662.6487}  
Iteration 1:{space 3}log pseudolikelihood = {res:-518.26028}  
Iteration 2:{space 3}log pseudolikelihood = {res:-516.98162}  
Iteration 3:{space 3}log pseudolikelihood = {res:-516.97846}  
Iteration 4:{space 3}log pseudolikelihood = {res:-516.97846}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4915.5504}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4908.7779}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4908.3811}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4908.2761}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4908.2743}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4908.2743}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   630850
{txt}                                                Censored obs       = {res}   629894
                                                {txt}Uncensored obs     = {res}      956

                                                {txt}Wald chi2({res}17{txt})      = {res}   194.43
{txt}Log pseudolikelihood = {res}-4908.274                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 88:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition             {txt}{c |}
{space 10}sMyWNeoDummy {c |}{col 24}{res}{space 2} .2334022{col 36}{space 2} .3894161{col 47}{space 1}    0.60{col 56}{space 3}0.549{col 64}{space 4}-.5298393{col 77}{space 3} .9966438
{txt}{space 10}tMyWNeoDummy {c |}{col 24}{res}{space 2}  .171013{col 36}{space 2} .4425852{col 47}{space 1}    0.39{col 56}{space 3}0.699{col 64}{space 4}-.6964381{col 77}{space 3} 1.038464
{txt}{space 7}MyDyadWNeoDummy {c |}{col 24}{res}{space 2} .1889275{col 36}{space 2} .2871854{col 47}{space 1}    0.66{col 56}{space 3}0.511{col 64}{space 4}-.3739456{col 77}{space 3} .7518006
{txt}{space 6}TestMyNeoliberal {c |}{col 24}{res}{space 2}-.5993197{col 36}{space 2} .8141459{col 47}{space 1}   -0.74{col 56}{space 3}0.462{col 64}{space 4}-2.195016{col 77}{space 3} .9963769
{txt}{space 19}BIT {c |}{col 24}{res}{space 2} .0248663{col 36}{space 2} .5196868{col 47}{space 1}    0.05{col 56}{space 3}0.962{col 64}{space 4}-.9937011{col 77}{space 3} 1.043434
{txt}{space 19}IMF {c |}{col 24}{res}{space 2}-1.151028{col 36}{space 2} .3767469{col 47}{space 1}   -3.06{col 56}{space 3}0.002{col 64}{space 4}-1.889439{col 77}{space 3} -.412618
{txt}{space 19}WTO {c |}{col 24}{res}{space 2} .2600844{col 36}{space 2} .1450127{col 47}{space 1}    1.79{col 56}{space 3}0.073{col 64}{space 4}-.0241353{col 77}{space 3} .5443041
{txt}{space 14}jointdem {c |}{col 24}{res}{space 2}-.7454355{col 36}{space 2}  .184261{col 47}{space 1}   -4.05{col 56}{space 3}0.000{col 64}{space 4} -1.10658{col 77}{space 3}-.3842906
{txt}{space 9}igomember_log {c |}{col 24}{res}{space 2} .8116358{col 36}{space 2} .2046295{col 47}{space 1}    3.97{col 56}{space 3}0.000{col 64}{space 4} .4105694{col 77}{space 3} 1.212702
{txt}{space 11}lowtradedep {c |}{col 24}{res}{space 2}  2.67286{col 36}{space 2} 5.498481{col 47}{space 1}    0.49{col 56}{space 3}0.627{col 64}{space 4}-8.103965{col 77}{space 3} 13.44968
{txt}{space 14}ussender {c |}{col 24}{res}{space 2} 1.614061{col 36}{space 2} .2458101{col 47}{space 1}    6.57{col 56}{space 3}0.000{col 64}{space 4} 1.132282{col 77}{space 3}  2.09584
{txt}{space 14}polity21 {c |}{col 24}{res}{space 2} .0073346{col 36}{space 2} .0123084{col 47}{space 1}    0.60{col 56}{space 3}0.551{col 64}{space 4}-.0167893{col 77}{space 3} .0314586
{txt}{space 14}polity22 {c |}{col 24}{res}{space 2} .0403366{col 36}{space 2} .0121332{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} .0165559{col 77}{space 3} .0641172
{txt}{space 10}us_targetdem {c |}{col 24}{res}{space 2} .0062385{col 36}{space 2} .0170679{col 47}{space 1}    0.37{col 56}{space 3}0.715{col 64}{space 4}-.0272141{col 77}{space 3}  .039691
{txt}{space 12}alliance_r {c |}{col 24}{res}{space 2}-.0179908{col 36}{space 2}   .17106{col 47}{space 1}   -0.11{col 56}{space 3}0.916{col 64}{space 4}-.3532622{col 77}{space 3} .3172807
{txt}{space 14}capratio {c |}{col 24}{res}{space 2} -.125806{col 36}{space 2} .0373491{col 47}{space 1}   -3.37{col 56}{space 3}0.001{col 64}{space 4}-.1990089{col 77}{space 3}-.0526032
{txt}{space 16}cwongo {c |}{col 24}{res}{space 2}  .344365{col 36}{space 2}   .26996{col 47}{space 1}    1.28{col 56}{space 3}0.202{col 64}{space 4}-.1847468{col 77}{space 3} .8734768
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-4.067307{col 36}{space 2} .6945477{col 47}{space 1}   -5.86{col 56}{space 3}0.000{col 64}{space 4}-5.428595{col 77}{space 3}-2.706018
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat                 {txt}{c |}
{space 10}sMyWNeoDummy {c |}{col 24}{res}{space 2}-.1711564{col 36}{space 2} .1296289{col 47}{space 1}   -1.32{col 56}{space 3}0.187{col 64}{space 4}-.4252245{col 77}{space 3} .0829116
{txt}{space 10}tMyWNeoDummy {c |}{col 24}{res}{space 2}-.3492494{col 36}{space 2}  .143464{col 47}{space 1}   -2.43{col 56}{space 3}0.015{col 64}{space 4}-.6304337{col 77}{space 3}-.0680652
{txt}{space 7}MyDyadWNeoDummy {c |}{col 24}{res}{space 2} .0758924{col 36}{space 2} .1501442{col 47}{space 1}    0.51{col 56}{space 3}0.613{col 64}{space 4}-.2183849{col 77}{space 3} .3701696
{txt}{space 6}TestMyNeoliberal {c |}{col 24}{res}{space 2} .8328852{col 36}{space 2} .2653719{col 47}{space 1}    3.14{col 56}{space 3}0.002{col 64}{space 4} .3127659{col 77}{space 3} 1.353004
{txt}{space 17}1.BIT {c |}{col 24}{res}{space 2} .4098865{col 36}{space 2} .1696073{col 47}{space 1}    2.42{col 56}{space 3}0.016{col 64}{space 4} .0774624{col 77}{space 3} .7423106
{txt}{space 22} {c |}
BIT#c.TestMyNeoliberal {c |}
{space 20}1  {c |}{col 24}{res}{space 2} -1.95152{col 36}{space 2} .7499243{col 47}{space 1}   -2.60{col 56}{space 3}0.009{col 64}{space 4}-3.421345{col 77}{space 3}-.4816952
{txt}{space 22} {c |}
{space 19}IMF {c |}{col 24}{res}{space 2}-.2380591{col 36}{space 2} .0895926{col 47}{space 1}   -2.66{col 56}{space 3}0.008{col 64}{space 4}-.4136573{col 77}{space 3}-.0624609
{txt}{space 19}WTO {c |}{col 24}{res}{space 2}-.0044792{col 36}{space 2} .0659874{col 47}{space 1}   -0.07{col 56}{space 3}0.946{col 64}{space 4}-.1338121{col 77}{space 3} .1248537
{txt}{space 14}jointdem {c |}{col 24}{res}{space 2}-.1242895{col 36}{space 2} .0942751{col 47}{space 1}   -1.32{col 56}{space 3}0.187{col 64}{space 4}-.3090652{col 77}{space 3} .0604862
{txt}{space 9}igomember_log {c |}{col 24}{res}{space 2} .5242724{col 36}{space 2} .1245981{col 47}{space 1}    4.21{col 56}{space 3}0.000{col 64}{space 4} .2800645{col 77}{space 3} .7684803
{txt}{space 11}lowtradedep {c |}{col 24}{res}{space 2} 13.49029{col 36}{space 2} 2.830848{col 47}{space 1}    4.77{col 56}{space 3}0.000{col 64}{space 4}  7.94193{col 77}{space 3} 19.03865
{txt}{space 14}ussender {c |}{col 24}{res}{space 2} 1.864303{col 36}{space 2}   .11974{col 47}{space 1}   15.57{col 56}{space 3}0.000{col 64}{space 4} 1.629617{col 77}{space 3} 2.098989
{txt}{space 14}polity21 {c |}{col 24}{res}{space 2} .0117944{col 36}{space 2} .0055675{col 47}{space 1}    2.12{col 56}{space 3}0.034{col 64}{space 4} .0008823{col 77}{space 3} .0227065
{txt}{space 14}polity22 {c |}{col 24}{res}{space 2} .0168624{col 36}{space 2} .0055387{col 47}{space 1}    3.04{col 56}{space 3}0.002{col 64}{space 4} .0060067{col 77}{space 3} .0277181
{txt}{space 10}us_targetdem {c |}{col 24}{res}{space 2}-.0273976{col 36}{space 2}    .0096{col 47}{space 1}   -2.85{col 56}{space 3}0.004{col 64}{space 4}-.0462132{col 77}{space 3}-.0085819
{txt}{space 12}alliance_r {c |}{col 24}{res}{space 2}  .322827{col 36}{space 2} .0791361{col 47}{space 1}    4.08{col 56}{space 3}0.000{col 64}{space 4} .1677231{col 77}{space 3} .4779309
{txt}{space 14}capratio {c |}{col 24}{res}{space 2}-.0118188{col 36}{space 2} .0138524{col 47}{space 1}   -0.85{col 56}{space 3}0.394{col 64}{space 4}-.0389689{col 77}{space 3} .0153313
{txt}{space 16}cwongo {c |}{col 24}{res}{space 2} 1.231582{col 36}{space 2} .1344792{col 47}{space 1}    9.16{col 56}{space 3}0.000{col 64}{space 4} .9680073{col 77}{space 3} 1.495156
{txt}{space 8}threat_years_i {c |}{col 24}{res}{space 2}-.1393326{col 36}{space 2} .0160111{col 47}{space 1}   -8.70{col 56}{space 3}0.000{col 64}{space 4}-.1707139{col 77}{space 3}-.1079514
{txt}{space 7}threat_years2_i {c |}{col 24}{res}{space 2} .0081815{col 36}{space 2}  .001224{col 47}{space 1}    6.68{col 56}{space 3}0.000{col 64}{space 4} .0057825{col 77}{space 3} .0105805
{txt}{space 7}threat_years3_i {c |}{col 24}{res}{space 2}-.0001537{col 36}{space 2} .0000278{col 47}{space 1}   -5.53{col 56}{space 3}0.000{col 64}{space 4}-.0002082{col 77}{space 3}-.0000992
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-4.291185{col 36}{space 2} .3925705{col 47}{space 1}  -10.93{col 56}{space 3}0.000{col 64}{space 4}-5.060609{col 77}{space 3}-3.521761
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               /athrho {c |}{col 24}{res}{space 2} .6234049{col 36}{space 2} .2332129{col 47}{space 1}    2.67{col 56}{space 3}0.008{col 64}{space 4}  .166316{col 77}{space 3} 1.080494
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                   rho{col 24}{c |}{res}{space 2} .5534943{col 36}{space 2} .1617668{col 64}{space 4} .1647993{col 77}{space 3} .7933822
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    7.15   {txt}Prob > chi2 = {res}0.0075
{txt}
{com}. outreg2 using Table18 , word label title(Table 18: Average Elite University Attendance and Bilateral Investment Treaties) bdec(3)
{txt}{stata `"shellout using `"Table18.rtf"'"':Table18.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table18.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy c.TestMyNeoliberal##i.BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5212.9878}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4439.2687}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4372.7658}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4372.3548}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4372.3546}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}   2570.98
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4372.3546{txt}{col 51}Pseudo R2{col 67}= {res}    0.3895

{txt}{ralign 88:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                threat{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}sMyWNeoDummy {c |}{col 24}{res}{space 2}-.3765883{col 36}{space 2} .3160737{col 47}{space 1}   -1.19{col 56}{space 3}0.233{col 64}{space 4}-.9960813{col 77}{space 3} .2429047
{txt}{space 10}tMyWNeoDummy {c |}{col 24}{res}{space 2}-1.001001{col 36}{space 2}  .360269{col 47}{space 1}   -2.78{col 56}{space 3}0.005{col 64}{space 4}-1.707115{col 77}{space 3}-.2948863
{txt}{space 7}MyDyadWNeoDummy {c |}{col 24}{res}{space 2} .2945348{col 36}{space 2} .3885505{col 47}{space 1}    0.76{col 56}{space 3}0.448{col 64}{space 4}-.4670103{col 77}{space 3}  1.05608
{txt}{space 6}TestMyNeoliberal {c |}{col 24}{res}{space 2} 2.241727{col 36}{space 2}   .66143{col 47}{space 1}    3.39{col 56}{space 3}0.001{col 64}{space 4} .9453481{col 77}{space 3} 3.538106
{txt}{space 17}1.BIT {c |}{col 24}{res}{space 2} 1.222416{col 36}{space 2} .4915881{col 47}{space 1}    2.49{col 56}{space 3}0.013{col 64}{space 4}  .258921{col 77}{space 3} 2.185911
{txt}{space 22} {c |}
BIT#c.TestMyNeoliberal {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-4.649072{col 36}{space 2} 1.754612{col 47}{space 1}   -2.65{col 56}{space 3}0.008{col 64}{space 4}-8.088048{col 77}{space 3}-1.210097
{txt}{space 22} {c |}
{space 19}IMF {c |}{col 24}{res}{space 2}-.5806717{col 36}{space 2} .3098713{col 47}{space 1}   -1.87{col 56}{space 3}0.061{col 64}{space 4}-1.188008{col 77}{space 3} .0266648
{txt}{space 19}WTO {c |}{col 24}{res}{space 2}-.1386063{col 36}{space 2} .1569492{col 47}{space 1}   -0.88{col 56}{space 3}0.377{col 64}{space 4} -.446221{col 77}{space 3} .1690085
{txt}{space 14}jointdem {c |}{col 24}{res}{space 2}-.3240127{col 36}{space 2} .2682024{col 47}{space 1}   -1.21{col 56}{space 3}0.227{col 64}{space 4}-.8496797{col 77}{space 3} .2016543
{txt}{space 9}igomember_log {c |}{col 24}{res}{space 2} 1.532321{col 36}{space 2} .4102728{col 47}{space 1}    3.73{col 56}{space 3}0.000{col 64}{space 4} .7282008{col 77}{space 3} 2.336441
{txt}{space 11}lowtradedep {c |}{col 24}{res}{space 2} 28.90242{col 36}{space 2} 5.594172{col 47}{space 1}    5.17{col 56}{space 3}0.000{col 64}{space 4} 17.93804{col 77}{space 3}  39.8668
{txt}{space 14}ussender {c |}{col 24}{res}{space 2} 4.793893{col 36}{space 2} .3296412{col 47}{space 1}   14.54{col 56}{space 3}0.000{col 64}{space 4} 4.147808{col 77}{space 3} 5.439978
{txt}{space 14}polity21 {c |}{col 24}{res}{space 2}  .039027{col 36}{space 2} .0178704{col 47}{space 1}    2.18{col 56}{space 3}0.029{col 64}{space 4} .0040016{col 77}{space 3} .0740524
{txt}{space 14}polity22 {c |}{col 24}{res}{space 2} .0561727{col 36}{space 2} .0178851{col 47}{space 1}    3.14{col 56}{space 3}0.002{col 64}{space 4} .0211185{col 77}{space 3} .0912268
{txt}{space 10}us_targetdem {c |}{col 24}{res}{space 2}-.0934356{col 36}{space 2} .0221409{col 47}{space 1}   -4.22{col 56}{space 3}0.000{col 64}{space 4} -.136831{col 77}{space 3}-.0500402
{txt}{space 12}alliance_r {c |}{col 24}{res}{space 2} .7274498{col 36}{space 2} .2309111{col 47}{space 1}    3.15{col 56}{space 3}0.002{col 64}{space 4} .2748724{col 77}{space 3} 1.180027
{txt}{space 14}capratio {c |}{col 24}{res}{space 2}-.0652506{col 36}{space 2} .0423783{col 47}{space 1}   -1.54{col 56}{space 3}0.124{col 64}{space 4}-.1483106{col 77}{space 3} .0178093
{txt}{space 16}cwongo {c |}{col 24}{res}{space 2} 2.843028{col 36}{space 2} .5329903{col 47}{space 1}    5.33{col 56}{space 3}0.000{col 64}{space 4} 1.798386{col 77}{space 3}  3.88767
{txt}{space 8}threat_years_i {c |}{col 24}{res}{space 2}-.3506001{col 36}{space 2} .0454773{col 47}{space 1}   -7.71{col 56}{space 3}0.000{col 64}{space 4}-.4397339{col 77}{space 3}-.2614662
{txt}{space 7}threat_years2_i {c |}{col 24}{res}{space 2}  .020934{col 36}{space 2} .0033864{col 47}{space 1}    6.18{col 56}{space 3}0.000{col 64}{space 4} .0142967{col 77}{space 3} .0275712
{txt}{space 7}threat_years3_i {c |}{col 24}{res}{space 2}-.0003997{col 36}{space 2} .0000763{col 47}{space 1}   -5.24{col 56}{space 3}0.000{col 64}{space 4}-.0005492{col 77}{space 3}-.0002502
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-10.76656{col 36}{space 2} 1.325499{col 47}{space 1}   -8.12{col 56}{space 3}0.000{col 64}{space 4}-13.36449{col 77}{space 3}-8.168633
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table18 , word label title(Table 18: Average Elite University Attendance and Bilateral Investment Treaties) bdec(3)
{txt}{stata `"shellout using `"Table18.rtf"'"':Table18.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table18.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table18 , word label title(Table 18: Average Elite University Attendance and Bilateral Investment Treaties) bdec(3)
{txt}{stata `"shellout using `"Table18.rtf"'"':Table18.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table18.txt", label"':seeout}

{com}. 
. 
. 
. *****************************Tables 29-34 Fixed Effect Models*********************************
. ****Table 19****
. *Model 1*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode1, iterate(10) cluster(dyadid)

{txt}note: 40.ccode1 != 0 predicts failure perfectly
      40.ccode1 dropped and 4475 obs not used

note: 41.ccode1 != 0 predicts failure perfectly
      41.ccode1 dropped and 4470 obs not used

note: 42.ccode1 != 0 predicts failure perfectly
      42.ccode1 dropped and 4067 obs not used

note: 51.ccode1 != 0 predicts failure perfectly
      51.ccode1 dropped and 4049 obs not used

note: 52.ccode1 != 0 predicts failure perfectly
      52.ccode1 dropped and 4470 obs not used

note: 90.ccode1 != 0 predicts failure perfectly
      90.ccode1 dropped and 4363 obs not used

note: 91.ccode1 != 0 predicts failure perfectly
      91.ccode1 dropped and 4455 obs not used

note: 92.ccode1 != 0 predicts failure perfectly
      92.ccode1 dropped and 4458 obs not used

note: 93.ccode1 != 0 predicts failure perfectly
      93.ccode1 dropped and 4469 obs not used

note: 94.ccode1 != 0 predicts failure perfectly
      94.ccode1 dropped and 4353 obs not used

note: 95.ccode1 != 0 predicts failure perfectly
      95.ccode1 dropped and 4462 obs not used

note: 100.ccode1 != 0 predicts failure perfectly
      100.ccode1 dropped and 4210 obs not used

note: 101.ccode1 != 0 predicts failure perfectly
      101.ccode1 dropped and 4469 obs not used

note: 110.ccode1 != 0 predicts failure perfectly
      110.ccode1 dropped and 4464 obs not used

note: 130.ccode1 != 0 predicts failure perfectly
      130.ccode1 dropped and 4469 obs not used

note: 135.ccode1 != 0 predicts failure perfectly
      135.ccode1 dropped and 4469 obs not used

note: 145.ccode1 != 0 predicts failure perfectly
      145.ccode1 dropped and 4347 obs not used

note: 150.ccode1 != 0 predicts failure perfectly
      150.ccode1 dropped and 4469 obs not used

note: 165.ccode1 != 0 predicts failure perfectly
      165.ccode1 dropped and 4470 obs not used

note: 205.ccode1 != 0 predicts failure perfectly
      205.ccode1 dropped and 4470 obs not used

note: 210.ccode1 != 0 predicts failure perfectly
      210.ccode1 dropped and 4470 obs not used

note: 211.ccode1 != 0 predicts failure perfectly
      211.ccode1 dropped and 4470 obs not used

note: 235.ccode1 != 0 predicts failure perfectly
      235.ccode1 dropped and 4470 obs not used

note: 265.ccode1 != 0 predicts failure perfectly
      265.ccode1 dropped and 2673 obs not used

note: 290.ccode1 != 0 predicts failure perfectly
      290.ccode1 dropped and 4368 obs not used

note: 305.ccode1 != 0 predicts failure perfectly
      305.ccode1 dropped and 4364 obs not used

note: 310.ccode1 != 0 predicts failure perfectly
      310.ccode1 dropped and 4475 obs not used

note: 315.ccode1 != 0 predicts failure perfectly
      315.ccode1 dropped and 3254 obs not used

note: 317.ccode1 != 0 predicts failure perfectly
      317.ccode1 dropped and 1220 obs not used

note: 339.ccode1 != 0 predicts failure perfectly
      339.ccode1 dropped and 4443 obs not used

note: 343.ccode1 != 0 predicts failure perfectly
      343.ccode1 dropped and 1220 obs not used

note: 344.ccode1 != 0 predicts failure perfectly
      344.ccode1 dropped and 1371 obs not used

note: 346.ccode1 != 0 predicts failure perfectly
      346.ccode1 dropped and 454 obs not used

note: 349.ccode1 != 0 predicts failure perfectly
      349.ccode1 dropped and 1371 obs not used

note: 352.ccode1 != 0 predicts failure perfectly
      352.ccode1 dropped and 4470 obs not used

note: 355.ccode1 != 0 predicts failure perfectly
      355.ccode1 dropped and 4475 obs not used

note: 359.ccode1 != 0 predicts failure perfectly
      359.ccode1 dropped and 1491 obs not used

note: 360.ccode1 != 0 predicts failure perfectly
      360.ccode1 dropped and 4475 obs not used

note: 366.ccode1 != 0 predicts failure perfectly
      366.ccode1 dropped and 1510 obs not used

note: 367.ccode1 != 0 predicts failure perfectly
      367.ccode1 dropped and 1511 obs not used

note: 368.ccode1 != 0 predicts failure perfectly
      368.ccode1 dropped and 1512 obs not used

note: 369.ccode1 != 0 predicts failure perfectly
      369.ccode1 dropped and 1519 obs not used

note: 370.ccode1 != 0 predicts failure perfectly
      370.ccode1 dropped and 1067 obs not used

note: 372.ccode1 != 0 predicts failure perfectly
      372.ccode1 dropped and 1498 obs not used

note: 375.ccode1 != 0 predicts failure perfectly
      375.ccode1 dropped and 4470 obs not used

note: 385.ccode1 != 0 predicts failure perfectly
      385.ccode1 dropped and 4334 obs not used

note: 390.ccode1 != 0 predicts failure perfectly
      390.ccode1 dropped and 4470 obs not used

note: 404.ccode1 != 0 predicts failure perfectly
      404.ccode1 dropped and 3827 obs not used

note: 411.ccode1 != 0 predicts failure perfectly
      411.ccode1 dropped and 4426 obs not used

note: 420.ccode1 != 0 predicts failure perfectly
      420.ccode1 dropped and 4455 obs not used

note: 432.ccode1 != 0 predicts failure perfectly
      432.ccode1 dropped and 4472 obs not used

note: 433.ccode1 != 0 predicts failure perfectly
      433.ccode1 dropped and 4472 obs not used

note: 434.ccode1 != 0 predicts failure perfectly
      434.ccode1 dropped and 4366 obs not used

note: 435.ccode1 != 0 predicts failure perfectly
      435.ccode1 dropped and 4472 obs not used

note: 436.ccode1 != 0 predicts failure perfectly
      436.ccode1 dropped and 4471 obs not used

note: 437.ccode1 != 0 predicts failure perfectly
      437.ccode1 dropped and 4471 obs not used

note: 438.ccode1 != 0 predicts failure perfectly
      438.ccode1 dropped and 4462 obs not used

note: 439.ccode1 != 0 predicts failure perfectly
      439.ccode1 dropped and 4472 obs not used

note: 450.ccode1 != 0 predicts failure perfectly
      450.ccode1 dropped and 4451 obs not used

note: 451.ccode1 != 0 predicts failure perfectly
      451.ccode1 dropped and 4471 obs not used

note: 452.ccode1 != 0 predicts failure perfectly
      452.ccode1 dropped and 4204 obs not used

note: 461.ccode1 != 0 predicts failure perfectly
      461.ccode1 dropped and 4471 obs not used

note: 471.ccode1 != 0 predicts failure perfectly
      471.ccode1 dropped and 4471 obs not used

note: 481.ccode1 != 0 predicts failure perfectly
      481.ccode1 dropped and 4472 obs not used

note: 482.ccode1 != 0 predicts failure perfectly
      482.ccode1 dropped and 4471 obs not used

note: 483.ccode1 != 0 predicts failure perfectly
      483.ccode1 dropped and 4205 obs not used

note: 484.ccode1 != 0 predicts failure perfectly
      484.ccode1 dropped and 4471 obs not used

note: 490.ccode1 != 0 predicts failure perfectly
      490.ccode1 dropped and 4471 obs not used

note: 500.ccode1 != 0 predicts failure perfectly
      500.ccode1 dropped and 4336 obs not used

note: 517.ccode1 != 0 predicts failure perfectly
      517.ccode1 dropped and 4451 obs not used

note: 520.ccode1 != 0 predicts failure perfectly
      520.ccode1 dropped and 3092 obs not used

note: 522.ccode1 != 0 predicts failure perfectly
      522.ccode1 dropped and 3406 obs not used

note: 530.ccode1 != 0 predicts failure perfectly
      530.ccode1 dropped and 4461 obs not used

note: 531.ccode1 != 0 predicts failure perfectly
      531.ccode1 dropped and 1220 obs not used

note: 540.ccode1 != 0 predicts failure perfectly
      540.ccode1 dropped and 3606 obs not used

note: 541.ccode1 != 0 predicts failure perfectly
      541.ccode1 dropped and 3701 obs not used

note: 553.ccode1 != 0 predicts failure perfectly
      553.ccode1 dropped and 4471 obs not used

note: 560.ccode1 != 0 predicts failure perfectly
      560.ccode1 dropped and 4469 obs not used

note: 565.ccode1 != 0 predicts failure perfectly
      565.ccode1 dropped and 1656 obs not used

note: 570.ccode1 != 0 predicts failure perfectly
      570.ccode1 dropped and 4314 obs not used

note: 571.ccode1 != 0 predicts failure perfectly
      571.ccode1 dropped and 4465 obs not used

note: 572.ccode1 != 0 predicts failure perfectly
      572.ccode1 dropped and 4062 obs not used

note: 580.ccode1 != 0 predicts failure perfectly
      580.ccode1 dropped and 4471 obs not used

note: 581.ccode1 != 0 predicts failure perfectly
      581.ccode1 dropped and 3546 obs not used

note: 590.ccode1 != 0 predicts failure perfectly
      590.ccode1 dropped and 4032 obs not used

note: 600.ccode1 != 0 predicts failure perfectly
      600.ccode1 dropped and 4472 obs not used

note: 615.ccode1 != 0 predicts failure perfectly
      615.ccode1 dropped and 4472 obs not used

note: 616.ccode1 != 0 predicts failure perfectly
      616.ccode1 dropped and 4472 obs not used

note: 663.ccode1 != 0 predicts failure perfectly
      663.ccode1 dropped and 4471 obs not used

note: 678.ccode1 != 0 predicts failure perfectly
      678.ccode1 dropped and 1300 obs not used

note: 680.ccode1 != 0 predicts failure perfectly
      680.ccode1 dropped and 2924 obs not used

note: 692.ccode1 != 0 predicts failure perfectly
      692.ccode1 dropped and 4213 obs not used

note: 694.ccode1 != 0 predicts failure perfectly
      694.ccode1 dropped and 4226 obs not used

note: 696.ccode1 != 0 predicts failure perfectly
      696.ccode1 dropped and 4226 obs not used

note: 698.ccode1 != 0 predicts failure perfectly
      698.ccode1 dropped and 4222 obs not used

note: 701.ccode1 != 0 predicts failure perfectly
      701.ccode1 dropped and 1494 obs not used

note: 702.ccode1 != 0 predicts failure perfectly
      702.ccode1 dropped and 1493 obs not used

note: 703.ccode1 != 0 predicts failure perfectly
      703.ccode1 dropped and 1494 obs not used

note: 704.ccode1 != 0 predicts failure perfectly
      704.ccode1 dropped and 1517 obs not used

note: 712.ccode1 != 0 predicts failure perfectly
      712.ccode1 dropped and 4449 obs not used

note: 731.ccode1 != 0 predicts failure perfectly
      731.ccode1 dropped and 3859 obs not used

note: 760.ccode1 != 0 predicts failure perfectly
      760.ccode1 dropped and 4211 obs not used

note: 770.ccode1 != 0 predicts failure perfectly
      770.ccode1 dropped and 4186 obs not used

note: 771.ccode1 != 0 predicts failure perfectly
      771.ccode1 dropped and 3953 obs not used

note: 775.ccode1 != 0 predicts failure perfectly
      775.ccode1 dropped and 4463 obs not used

note: 780.ccode1 != 0 predicts failure perfectly
      780.ccode1 dropped and 4364 obs not used

note: 790.ccode1 != 0 predicts failure perfectly
      790.ccode1 dropped and 4453 obs not used

note: 811.ccode1 != 0 predicts failure perfectly
      811.ccode1 dropped and 3134 obs not used

note: 812.ccode1 != 0 predicts failure perfectly
      812.ccode1 dropped and 4463 obs not used

note: 816.ccode1 != 0 predicts failure perfectly
      816.ccode1 dropped and 4453 obs not used

note: 817.ccode1 != 0 predicts failure perfectly
      817.ccode1 dropped and 898 obs not used

note: 840.ccode1 != 0 predicts failure perfectly
      840.ccode1 dropped and 4461 obs not used

note: 910.ccode1 != 0 predicts failure perfectly
      910.ccode1 dropped and 3696 obs not used

note: 940.ccode1 != 0 predicts failure perfectly
      940.ccode1 dropped and 3279 obs not used

note: 950.ccode1 != 0 predicts failure perfectly
      950.ccode1 dropped and 4353 obs not used

note: 920.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6059.7282}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4393.3129}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3762.2287}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3529.2396}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3521.3072}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3521.1146}  
Iteration 6:{space 3}log pseudolikelihood = {res: -3521.114}  
Iteration 7:{space 3}log pseudolikelihood = {res: -3521.114}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    199543
{txt}{col 51}Wald chi2({res}66{txt}){col 67}= {res}   1924.18
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -3521.114{txt}{col 51}Pseudo R2{col 67}= {res}    0.4189

{txt}{ralign 82:(Std. Err. adjusted for {res:7738} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.4595381{col 30}{space 2} .2976013{col 41}{space 1}   -1.54{col 50}{space 3}0.123{col 58}{space 4}-1.042826{col 71}{space 3} .1237497
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.003628{col 30}{space 2} .3475431{col 41}{space 1}   -2.89{col 50}{space 3}0.004{col 58}{space 4}  -1.6848{col 71}{space 3}-.3224561
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .3792967{col 30}{space 2} .3763397{col 41}{space 1}    1.01{col 50}{space 3}0.314{col 58}{space 4}-.3583156{col 71}{space 3} 1.116909
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 1.963904{col 30}{space 2} .6416029{col 41}{space 1}    3.06{col 50}{space 3}0.002{col 58}{space 4} .7063852{col 71}{space 3} 3.221423
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0300045{col 30}{space 2} .4453176{col 41}{space 1}   -0.07{col 50}{space 3}0.946{col 58}{space 4}-.9028111{col 71}{space 3}  .842802
{txt}{space 13}IMF {c |}{col 18}{res}{space 2} .1841129{col 30}{space 2} .3294757{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.4616477{col 71}{space 3} .8298735
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .3731759{col 30}{space 2} .1761422{col 41}{space 1}    2.12{col 50}{space 3}0.034{col 58}{space 4} .0279435{col 71}{space 3} .7184083
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.5487149{col 30}{space 2} .2674322{col 41}{space 1}   -2.05{col 50}{space 3}0.040{col 58}{space 4}-1.072872{col 71}{space 3}-.0245574
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} .2347656{col 30}{space 2} .3552033{col 41}{space 1}    0.66{col 50}{space 3}0.509{col 58}{space 4}-.4614201{col 71}{space 3} .9309513
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 35.50467{col 30}{space 2} 6.962005{col 41}{space 1}    5.10{col 50}{space 3}0.000{col 58}{space 4} 21.85939{col 71}{space 3} 49.14995
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 8.740363{col 30}{space 2} 1.118846{col 41}{space 1}    7.81{col 50}{space 3}0.000{col 58}{space 4} 6.547465{col 71}{space 3} 10.93326
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0698802{col 30}{space 2} .0367383{col 41}{space 1}    1.90{col 50}{space 3}0.057{col 58}{space 4}-.0021257{col 71}{space 3}  .141886
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0465855{col 30}{space 2} .0185095{col 41}{space 1}    2.52{col 50}{space 3}0.012{col 58}{space 4} .0103075{col 71}{space 3} .0828635
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0633566{col 30}{space 2} .0205137{col 41}{space 1}   -3.09{col 50}{space 3}0.002{col 58}{space 4}-.1035628{col 71}{space 3}-.0231505
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .8086843{col 30}{space 2} .2047602{col 41}{space 1}    3.95{col 50}{space 3}0.000{col 58}{space 4} .4073617{col 71}{space 3} 1.210007
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.5075163{col 30}{space 2} .0576594{col 41}{space 1}   -8.80{col 50}{space 3}0.000{col 58}{space 4}-.6205266{col 71}{space 3} -.394506
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.113782{col 30}{space 2} .4870428{col 41}{space 1}    4.34{col 50}{space 3}0.000{col 58}{space 4} 1.159195{col 71}{space 3} 3.068368
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.3308354{col 30}{space 2} .0449733{col 41}{space 1}   -7.36{col 50}{space 3}0.000{col 58}{space 4}-.4189815{col 71}{space 3}-.2426893
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0225812{col 30}{space 2} .0035299{col 41}{space 1}    6.40{col 50}{space 3}0.000{col 58}{space 4} .0156627{col 71}{space 3} .0294997
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0004535{col 30}{space 2} .0000792{col 41}{space 1}   -5.73{col 50}{space 3}0.000{col 58}{space 4}-.0006087{col 71}{space 3}-.0002983
{txt}{space 16} {c |}
{space 10}ccode1 {c |}
{space 13}20  {c |}{col 18}{res}{space 2} 5.172482{col 30}{space 2} 1.059691{col 41}{space 1}    4.88{col 50}{space 3}0.000{col 58}{space 4} 3.095526{col 71}{space 3} 7.249437
{txt}{space 13}40  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}41  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}42  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}51  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}52  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}70  {c |}{col 18}{res}{space 2} 4.695336{col 30}{space 2} 1.212933{col 41}{space 1}    3.87{col 50}{space 3}0.000{col 58}{space 4}  2.31803{col 71}{space 3} 7.072642
{txt}{space 13}90  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}91  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}92  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}93  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}94  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}95  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}100  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
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{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-9.698419{col 30}{space 2}  1.51821{col 41}{space 1}   -6.39{col 50}{space 3}0.000{col 58}{space 4}-12.67405{col 71}{space 3}-6.722782
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table19 , word label title(Table 19: Elite University Attendance For Senders and Targets With Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table19.rtf"'"':Table19.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table19.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode1, vce(cluster dyadid)

{txt}note: 155.ccode1 != 0 predicts success perfectly
      155.ccode1 dropped and 6 obs not used

note: 160.ccode1 != 0 predicts failure perfectly
      160.ccode1 dropped and 8 obs not used

note: 225.ccode1 != 0 predicts failure perfectly
      225.ccode1 dropped and 5 obs not used

note: 350.ccode1 != 0 predicts failure perfectly
      350.ccode1 dropped and 4 obs not used

note: 371.ccode1 != 0 predicts failure perfectly
      371.ccode1 dropped and 4 obs not used

note: 373.ccode1 != 0 predicts failure perfectly
      373.ccode1 dropped and 4 obs not used

note: 380.ccode1 != 0 predicts failure perfectly
      380.ccode1 dropped and 1 obs not used

note: 501.ccode1 != 0 predicts failure perfectly
      501.ccode1 dropped and 1 obs not used

note: 510.ccode1 != 0 predicts failure perfectly
      510.ccode1 dropped and 4 obs not used

note: 516.ccode1 != 0 predicts success perfectly
      516.ccode1 dropped and 6 obs not used

note: 551.ccode1 != 0 predicts failure perfectly
      551.ccode1 dropped and 6 obs not used

note: 552.ccode1 != 0 predicts failure perfectly
      552.ccode1 dropped and 2 obs not used

note: 620.ccode1 != 0 predicts success perfectly
      620.ccode1 dropped and 2 obs not used

note: 625.ccode1 != 0 predicts failure perfectly
      625.ccode1 dropped and 1 obs not used

note: 651.ccode1 != 0 predicts failure perfectly
      651.ccode1 dropped and 7 obs not used

note: 652.ccode1 != 0 predicts success perfectly
      652.ccode1 dropped and 1 obs not used

note: 660.ccode1 != 0 predicts success perfectly
      660.ccode1 dropped and 1 obs not used

note: 666.ccode1 != 0 predicts failure perfectly
      666.ccode1 dropped and 4 obs not used

note: 690.ccode1 != 0 predicts success perfectly
      690.ccode1 dropped and 1 obs not used

note: 700.ccode1 != 0 predicts failure perfectly
      700.ccode1 dropped and 2 obs not used

note: 705.ccode1 != 0 predicts failure perfectly
      705.ccode1 dropped and 4 obs not used

note: 732.ccode1 != 0 predicts failure perfectly
      732.ccode1 dropped and 3 obs not used

note: 800.ccode1 != 0 predicts success perfectly
      800.ccode1 dropped and 1 obs not used

note: 820.ccode1 != 0 predicts success perfectly
      820.ccode1 dropped and 1 obs not used

note: 830.ccode1 != 0 predicts failure perfectly
      830.ccode1 dropped and 2 obs not used

note: 850.ccode1 != 0 predicts failure perfectly
      850.ccode1 dropped and 1 obs not used

note: 920.ccode1 != 0 predicts failure perfectly
      920.ccode1 dropped and 1 obs not used

note: 900.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-549.96597}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.52679}  
Iteration 2:{space 3}log pseudolikelihood = {res:-469.65345}  
Iteration 3:{space 3}log pseudolikelihood = {res:-469.63783}  
Iteration 4:{space 3}log pseudolikelihood = {res:-469.63779}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       873
{txt}{col 51}Wald chi2({res}36{txt}){col 67}= {res}     74.64
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0002
{txt}Log pseudolikelihood = {res}-469.63779{txt}{col 51}Pseudo R2{col 67}= {res}    0.1461

{txt}{ralign 82:(Std. Err. adjusted for {res:233} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .4576464{col 30}{space 2} .7620099{col 41}{space 1}    0.60{col 50}{space 3}0.548{col 58}{space 4}-1.035866{col 71}{space 3} 1.951158
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .6819087{col 30}{space 2} .9532314{col 41}{space 1}    0.72{col 50}{space 3}0.474{col 58}{space 4} -1.18639{col 71}{space 3} 2.550208
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2103949{col 30}{space 2}  .528767{col 41}{space 1}    0.40{col 50}{space 3}0.691{col 58}{space 4}-.8259694{col 71}{space 3} 1.246759
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.577045{col 30}{space 2} 1.584659{col 41}{space 1}   -1.00{col 50}{space 3}0.320{col 58}{space 4}-4.682919{col 71}{space 3} 1.528829
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.1949226{col 30}{space 2} 1.274327{col 41}{space 1}   -0.15{col 50}{space 3}0.878{col 58}{space 4}-2.692557{col 71}{space 3} 2.302712
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.146523{col 30}{space 2} .8992468{col 41}{space 1}   -2.39{col 50}{space 3}0.017{col 58}{space 4}-3.909014{col 71}{space 3}-.3840314
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .7261129{col 30}{space 2}  .302733{col 41}{space 1}    2.40{col 50}{space 3}0.016{col 58}{space 4}  .132767{col 71}{space 3} 1.319459
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.477378{col 30}{space 2} .4328392{col 41}{space 1}   -3.41{col 50}{space 3}0.001{col 58}{space 4}-2.325727{col 71}{space 3}-.6290286
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.212806{col 30}{space 2} .5582957{col 41}{space 1}    2.17{col 50}{space 3}0.030{col 58}{space 4} .1185664{col 71}{space 3} 2.307046
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} .8129762{col 30}{space 2} 21.25734{col 41}{space 1}    0.04{col 50}{space 3}0.969{col 58}{space 4}-40.85065{col 71}{space 3}  42.4766
{txt}{space 8}ussender {c |}{col 18}{res}{space 2}-.2508861{col 30}{space 2} 1.484932{col 41}{space 1}   -0.17{col 50}{space 3}0.866{col 58}{space 4}  -3.1613{col 71}{space 3} 2.659528
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}-.1523156{col 30}{space 2}  .177573{col 41}{space 1}   -0.86{col 50}{space 3}0.391{col 58}{space 4}-.5003522{col 71}{space 3} .1957211
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0379328{col 30}{space 2} .0357057{col 41}{space 1}    1.06{col 50}{space 3}0.288{col 58}{space 4}-.0320491{col 71}{space 3} .1079146
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0670152{col 30}{space 2} .0378042{col 41}{space 1}    1.77{col 50}{space 3}0.076{col 58}{space 4}-.0070796{col 71}{space 3} .1411101
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.1653264{col 30}{space 2}  .358737{col 41}{space 1}   -0.46{col 50}{space 3}0.645{col 58}{space 4} -.868438{col 71}{space 3} .5377851
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.2026091{col 30}{space 2} .1005903{col 41}{space 1}   -2.01{col 50}{space 3}0.044{col 58}{space 4}-.3997625{col 71}{space 3}-.0054557
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.0509303{col 30}{space 2} .4564433{col 41}{space 1}   -0.11{col 50}{space 3}0.911{col 58}{space 4}-.9455427{col 71}{space 3}  .843682
{txt}{space 16} {c |}
{space 10}ccode1 {c |}
{space 13}20  {c |}{col 18}{res}{space 2}-1.611457{col 30}{space 2} 1.457691{col 41}{space 1}   -1.11{col 50}{space 3}0.269{col 58}{space 4}-4.468479{col 71}{space 3} 1.245564
{txt}{space 13}70  {c |}{col 18}{res}{space 2} -3.36918{col 30}{space 2} 2.063462{col 41}{space 1}   -1.63{col 50}{space 3}0.103{col 58}{space 4}-7.413491{col 71}{space 3} .6751304
{txt}{space 12}140  {c |}{col 18}{res}{space 2} .4074279{col 30}{space 2} 1.995027{col 41}{space 1}    0.20{col 50}{space 3}0.838{col 58}{space 4}-3.502754{col 71}{space 3}  4.31761
{txt}{space 12}155  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}160  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}200  {c |}{col 18}{res}{space 2}-.4611076{col 30}{space 2} 1.524076{col 41}{space 1}   -0.30{col 50}{space 3}0.762{col 58}{space 4}-3.448242{col 71}{space 3} 2.526026
{txt}{space 12}220  {c |}{col 18}{res}{space 2}-1.089505{col 30}{space 2} 2.002662{col 41}{space 1}   -0.54{col 50}{space 3}0.586{col 58}{space 4}-5.014651{col 71}{space 3}  2.83564
{txt}{space 12}225  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}230  {c |}{col 18}{res}{space 2}-1.550275{col 30}{space 2} 1.914904{col 41}{space 1}   -0.81{col 50}{space 3}0.418{col 58}{space 4}-5.303418{col 71}{space 3} 2.202868
{txt}{space 12}260  {c |}{col 18}{res}{space 2}-1.303594{col 30}{space 2} 1.556593{col 41}{space 1}   -0.84{col 50}{space 3}0.402{col 58}{space 4}-4.354461{col 71}{space 3} 1.747273
{txt}{space 12}325  {c |}{col 18}{res}{space 2} -.154036{col 30}{space 2} 2.110536{col 41}{space 1}   -0.07{col 50}{space 3}0.942{col 58}{space 4} -4.29061{col 71}{space 3} 3.982538
{txt}{space 12}345  {c |}{col 18}{res}{space 2}-2.617494{col 30}{space 2}  3.51394{col 41}{space 1}   -0.74{col 50}{space 3}0.456{col 58}{space 4}-9.504689{col 71}{space 3} 4.269701
{txt}{space 12}350  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}365  {c |}{col 18}{res}{space 2}-2.531495{col 30}{space 2}  2.36101{col 41}{space 1}   -1.07{col 50}{space 3}0.284{col 58}{space 4} -7.15899{col 71}{space 3} 2.096001
{txt}{space 12}371  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}373  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}380  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}475  {c |}{col 18}{res}{space 2} .3401094{col 30}{space 2} 1.997408{col 41}{space 1}    0.17{col 50}{space 3}0.865{col 58}{space 4}-3.574738{col 71}{space 3} 4.254957
{txt}{space 12}501  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}510  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}516  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}551  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}552  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}620  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}625  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}630  {c |}{col 18}{res}{space 2}-3.754233{col 30}{space 2} 3.234518{col 41}{space 1}   -1.16{col 50}{space 3}0.246{col 58}{space 4}-10.09377{col 71}{space 3} 2.585305
{txt}{space 12}640  {c |}{col 18}{res}{space 2}-2.313191{col 30}{space 2} 3.811038{col 41}{space 1}   -0.61{col 50}{space 3}0.544{col 58}{space 4}-9.782688{col 71}{space 3} 5.156307
{txt}{space 12}645  {c |}{col 18}{res}{space 2}-2.733153{col 30}{space 2} 3.980206{col 41}{space 1}   -0.69{col 50}{space 3}0.492{col 58}{space 4}-10.53421{col 71}{space 3} 5.067907
{txt}{space 12}651  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}652  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}660  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}666  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}670  {c |}{col 18}{res}{space 2}-4.895788{col 30}{space 2} 3.911065{col 41}{space 1}   -1.25{col 50}{space 3}0.211{col 58}{space 4}-12.56133{col 71}{space 3} 2.769759
{txt}{space 12}690  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}700  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}705  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}710  {c |}{col 18}{res}{space 2}  -4.1207{col 30}{space 2} 3.392445{col 41}{space 1}   -1.21{col 50}{space 3}0.224{col 58}{space 4}-10.76977{col 71}{space 3}  2.52837
{txt}{space 12}713  {c |}{col 18}{res}{space 2}-1.171603{col 30}{space 2} 2.415313{col 41}{space 1}   -0.49{col 50}{space 3}0.628{col 58}{space 4} -5.90553{col 71}{space 3} 3.562324
{txt}{space 12}732  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}740  {c |}{col 18}{res}{space 2}-.0673631{col 30}{space 2} 1.778087{col 41}{space 1}   -0.04{col 50}{space 3}0.970{col 58}{space 4} -3.55235{col 71}{space 3} 3.417624
{txt}{space 12}750  {c |}{col 18}{res}{space 2}-2.909111{col 30}{space 2} 1.858727{col 41}{space 1}   -1.57{col 50}{space 3}0.118{col 58}{space 4}-6.552149{col 71}{space 3} .7339266
{txt}{space 12}800  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}820  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}830  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}850  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}900  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 12}920  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.0654088{col 30}{space 2} 2.788356{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-5.530487{col 71}{space 3} 5.399669
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table19 , word label title(Table 19: Elite University Attendance For Senders and Targets With Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table19.rtf"'"':Table19.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table19.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode2, iterate(10) cluster(dyadid)

{txt}note: 40.ccode2 != 0 predicts failure perfectly
      40.ccode2 dropped and 4475 obs not used

note: 51.ccode2 != 0 predicts failure perfectly
      51.ccode2 dropped and 4049 obs not used

note: 52.ccode2 != 0 predicts failure perfectly
      52.ccode2 dropped and 4470 obs not used

note: 110.ccode2 != 0 predicts failure perfectly
      110.ccode2 dropped and 4464 obs not used

note: 310.ccode2 != 0 predicts failure perfectly
      310.ccode2 dropped and 4475 obs not used

note: 315.ccode2 != 0 predicts failure perfectly
      315.ccode2 dropped and 3254 obs not used

note: 317.ccode2 != 0 predicts failure perfectly
      317.ccode2 dropped and 1220 obs not used

note: 344.ccode2 != 0 predicts failure perfectly
      344.ccode2 dropped and 1371 obs not used

note: 349.ccode2 != 0 predicts failure perfectly
      349.ccode2 dropped and 1371 obs not used

note: 352.ccode2 != 0 predicts failure perfectly
      352.ccode2 dropped and 4470 obs not used

note: 355.ccode2 != 0 predicts failure perfectly
      355.ccode2 dropped and 4475 obs not used

note: 359.ccode2 != 0 predicts failure perfectly
      359.ccode2 dropped and 1491 obs not used

note: 372.ccode2 != 0 predicts failure perfectly
      372.ccode2 dropped and 1498 obs not used

note: 375.ccode2 != 0 predicts failure perfectly
      375.ccode2 dropped and 4470 obs not used

note: 404.ccode2 != 0 predicts failure perfectly
      404.ccode2 dropped and 3827 obs not used

note: 411.ccode2 != 0 predicts failure perfectly
      411.ccode2 dropped and 4426 obs not used

note: 432.ccode2 != 0 predicts failure perfectly
      432.ccode2 dropped and 4472 obs not used

note: 433.ccode2 != 0 predicts failure perfectly
      433.ccode2 dropped and 4472 obs not used

note: 434.ccode2 != 0 predicts failure perfectly
      434.ccode2 dropped and 4366 obs not used

note: 435.ccode2 != 0 predicts failure perfectly
      435.ccode2 dropped and 4472 obs not used

note: 436.ccode2 != 0 predicts failure perfectly
      436.ccode2 dropped and 4471 obs not used

note: 438.ccode2 != 0 predicts failure perfectly
      438.ccode2 dropped and 4462 obs not used

note: 451.ccode2 != 0 predicts failure perfectly
      451.ccode2 dropped and 4471 obs not used

note: 452.ccode2 != 0 predicts failure perfectly
      452.ccode2 dropped and 4204 obs not used

note: 471.ccode2 != 0 predicts failure perfectly
      471.ccode2 dropped and 4471 obs not used

note: 482.ccode2 != 0 predicts failure perfectly
      482.ccode2 dropped and 4471 obs not used

note: 483.ccode2 != 0 predicts failure perfectly
      483.ccode2 dropped and 4205 obs not used

note: 484.ccode2 != 0 predicts failure perfectly
      484.ccode2 dropped and 4471 obs not used

note: 501.ccode2 != 0 predicts failure perfectly
      501.ccode2 dropped and 4471 obs not used

note: 510.ccode2 != 0 predicts failure perfectly
      510.ccode2 dropped and 4471 obs not used

note: 520.ccode2 != 0 predicts failure perfectly
      520.ccode2 dropped and 3092 obs not used

note: 522.ccode2 != 0 predicts failure perfectly
      522.ccode2 dropped and 3406 obs not used

note: 540.ccode2 != 0 predicts failure perfectly
      540.ccode2 dropped and 3606 obs not used

note: 541.ccode2 != 0 predicts failure perfectly
      541.ccode2 dropped and 3701 obs not used

note: 553.ccode2 != 0 predicts failure perfectly
      553.ccode2 dropped and 4471 obs not used

note: 565.ccode2 != 0 predicts failure perfectly
      565.ccode2 dropped and 1656 obs not used

note: 570.ccode2 != 0 predicts failure perfectly
      570.ccode2 dropped and 4314 obs not used

note: 571.ccode2 != 0 predicts failure perfectly
      571.ccode2 dropped and 4465 obs not used

note: 572.ccode2 != 0 predicts failure perfectly
      572.ccode2 dropped and 4062 obs not used

note: 580.ccode2 != 0 predicts failure perfectly
      580.ccode2 dropped and 4471 obs not used

note: 581.ccode2 != 0 predicts failure perfectly
      581.ccode2 dropped and 3546 obs not used

note: 590.ccode2 != 0 predicts failure perfectly
      590.ccode2 dropped and 4032 obs not used

note: 616.ccode2 != 0 predicts failure perfectly
      616.ccode2 dropped and 4472 obs not used

note: 678.ccode2 != 0 predicts failure perfectly
      678.ccode2 dropped and 1300 obs not used

note: 694.ccode2 != 0 predicts failure perfectly
      694.ccode2 dropped and 4226 obs not used

note: 696.ccode2 != 0 predicts failure perfectly
      696.ccode2 dropped and 4226 obs not used

note: 698.ccode2 != 0 predicts failure perfectly
      698.ccode2 dropped and 4222 obs not used

note: 701.ccode2 != 0 predicts failure perfectly
      701.ccode2 dropped and 1494 obs not used

note: 702.ccode2 != 0 predicts failure perfectly
      702.ccode2 dropped and 1493 obs not used

note: 705.ccode2 != 0 predicts failure perfectly
      705.ccode2 dropped and 1493 obs not used

note: 712.ccode2 != 0 predicts failure perfectly
      712.ccode2 dropped and 4449 obs not used

note: 760.ccode2 != 0 predicts failure perfectly
      760.ccode2 dropped and 4211 obs not used

note: 817.ccode2 != 0 predicts failure perfectly
      817.ccode2 dropped and 898 obs not used

note: 910.ccode2 != 0 predicts failure perfectly
      910.ccode2 dropped and 3696 obs not used

note: 940.ccode2 != 0 predicts failure perfectly
      940.ccode2 dropped and 3279 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6796.7404}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4714.6206}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4303.2308}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3589.6532}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3547.5657}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3545.3942}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3545.3892}  
Iteration 7:{space 3}log pseudolikelihood = {res:-3545.3892}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    430813
{txt}{col 51}Wald chi2({res}127{txt}){col 67}= {res}   4696.67
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3545.3892{txt}{col 51}Pseudo R2{col 67}= {res}    0.4784

{txt}{ralign 82:(Std. Err. adjusted for {res:17364} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.3414205{col 30}{space 2} .3058775{col 41}{space 1}   -1.12{col 50}{space 3}0.264{col 58}{space 4}-.9409294{col 71}{space 3} .2580885
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-.8449532{col 30}{space 2} .3588326{col 41}{space 1}   -2.35{col 50}{space 3}0.019{col 58}{space 4}-1.548252{col 71}{space 3}-.1416541
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .4314413{col 30}{space 2} .3518641{col 41}{space 1}    1.23{col 50}{space 3}0.220{col 58}{space 4}-.2581996{col 71}{space 3} 1.121082
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 1.924721{col 30}{space 2} .6581349{col 41}{space 1}    2.92{col 50}{space 3}0.003{col 58}{space 4} .6348006{col 71}{space 3} 3.214642
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.1153716{col 30}{space 2} .5149629{col 41}{space 1}   -0.22{col 50}{space 3}0.823{col 58}{space 4} -1.12468{col 71}{space 3} .8939371
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.4507237{col 30}{space 2} .3085332{col 41}{space 1}   -1.46{col 50}{space 3}0.144{col 58}{space 4}-1.055438{col 71}{space 3} .1539902
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .1887737{col 30}{space 2} .1807046{col 41}{space 1}    1.04{col 50}{space 3}0.296{col 58}{space 4}-.1654009{col 71}{space 3} .5429483
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.3747297{col 30}{space 2} .2826121{col 41}{space 1}   -1.33{col 50}{space 3}0.185{col 58}{space 4}-.9286391{col 71}{space 3} .1791798
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.502485{col 30}{space 2} .4387396{col 41}{space 1}    3.42{col 50}{space 3}0.001{col 58}{space 4} .6425708{col 71}{space 3} 2.362399
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 29.19632{col 30}{space 2} 4.377332{col 41}{space 1}    6.67{col 50}{space 3}0.000{col 58}{space 4} 20.61691{col 71}{space 3} 37.77573
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 2.878977{col 30}{space 2}  .271292{col 41}{space 1}   10.61{col 50}{space 3}0.000{col 58}{space 4} 2.347255{col 71}{space 3} 3.410699
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0121015{col 30}{space 2} .0192711{col 41}{space 1}    0.63{col 50}{space 3}0.530{col 58}{space 4}-.0256692{col 71}{space 3} .0498721
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0548091{col 30}{space 2} .0244329{col 41}{space 1}    2.24{col 50}{space 3}0.025{col 58}{space 4} .0069216{col 71}{space 3} .1026967
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0733294{col 30}{space 2} .0220695{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.1165849{col 71}{space 3}-.0300739
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{txt}{space 12}660  {c |}{col 18}{res}{space 2}-5.696284{col 30}{space 2} 1.108118{col 41}{space 1}   -5.14{col 50}{space 3}0.000{col 58}{space 4}-7.868155{col 71}{space 3}-3.524414
{txt}{space 12}663  {c |}{col 18}{res}{space 2}-5.632733{col 30}{space 2} .6595364{col 41}{space 1}   -8.54{col 50}{space 3}0.000{col 58}{space 4}  -6.9254{col 71}{space 3}-4.340065
{txt}{space 12}666  {c |}{col 18}{res}{space 2}-3.876369{col 30}{space 2} .6088735{col 41}{space 1}   -6.37{col 50}{space 3}0.000{col 58}{space 4}-5.069739{col 71}{space 3}-2.682999
{txt}{space 12}670  {c |}{col 18}{res}{space 2}-2.870972{col 30}{space 2}  .964575{col 41}{space 1}   -2.98{col 50}{space 3}0.003{col 58}{space 4}-4.761504{col 71}{space 3}-.9804393
{txt}{space 12}678  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}680  {c |}{col 18}{res}{space 2}  -5.1724{col 30}{space 2} 1.430511{col 41}{space 1}   -3.62{col 50}{space 3}0.000{col 58}{space 4} -7.97615{col 71}{space 3}-2.368651
{txt}{space 12}690  {c |}{col 18}{res}{space 2}-6.549669{col 30}{space 2} .6473062{col 41}{space 1}  -10.12{col 50}{space 3}0.000{col 58}{space 4}-7.818365{col 71}{space 3}-5.280972
{txt}{space 12}692  {c |}{col 18}{res}{space 2}-6.594187{col 30}{space 2} 1.433877{col 41}{space 1}   -4.60{col 50}{space 3}0.000{col 58}{space 4}-9.404534{col 71}{space 3}-3.783841
{txt}{space 12}694  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}696  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}698  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}700  {c |}{col 18}{res}{space 2} -4.95501{col 30}{space 2} .6566052{col 41}{space 1}   -7.55{col 50}{space 3}0.000{col 58}{space 4}-6.241932{col 71}{space 3}-3.668087
{txt}{space 12}701  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}702  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}703  {c |}{col 18}{res}{space 2}-6.243584{col 30}{space 2} 1.463151{col 41}{space 1}   -4.27{col 50}{space 3}0.000{col 58}{space 4}-9.111307{col 71}{space 3}-3.375862
{txt}{space 12}704  {c |}{col 18}{res}{space 2}-5.127799{col 30}{space 2} 1.499391{col 41}{space 1}   -3.42{col 50}{space 3}0.001{col 58}{space 4}-8.066551{col 71}{space 3}-2.189047
{txt}{space 12}705  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}710  {c |}{col 18}{res}{space 2}-1.041476{col 30}{space 2} .8218363{col 41}{space 1}   -1.27{col 50}{space 3}0.205{col 58}{space 4}-2.652246{col 71}{space 3} .5692932
{txt}{space 12}712  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}713  {c |}{col 18}{res}{space 2}-.9009977{col 30}{space 2} .8578971{col 41}{space 1}   -1.05{col 50}{space 3}0.294{col 58}{space 4}-2.582445{col 71}{space 3} .7804497
{txt}{space 12}731  {c |}{col 18}{res}{space 2}-4.085938{col 30}{space 2} .7487884{col 41}{space 1}   -5.46{col 50}{space 3}0.000{col 58}{space 4}-5.553537{col 71}{space 3} -2.61834
{txt}{space 12}732  {c |}{col 18}{res}{space 2}-2.372969{col 30}{space 2} .4741417{col 41}{space 1}   -5.00{col 50}{space 3}0.000{col 58}{space 4}-3.302269{col 71}{space 3}-1.443668
{txt}{space 12}740  {c |}{col 18}{res}{space 2} -1.68843{col 30}{space 2} .4074806{col 41}{space 1}   -4.14{col 50}{space 3}0.000{col 58}{space 4}-2.487077{col 71}{space 3}-.8897828
{txt}{space 12}750  {c |}{col 18}{res}{space 2}-1.750291{col 30}{space 2} .5544235{col 41}{space 1}   -3.16{col 50}{space 3}0.002{col 58}{space 4}-2.836941{col 71}{space 3}-.6636409
{txt}{space 12}760  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}770  {c |}{col 18}{res}{space 2} -3.61184{col 30}{space 2} .6314342{col 41}{space 1}   -5.72{col 50}{space 3}0.000{col 58}{space 4}-4.849428{col 71}{space 3}-2.374251
{txt}{space 12}771  {c |}{col 18}{res}{space 2}-4.642823{col 30}{space 2} .6062748{col 41}{space 1}   -7.66{col 50}{space 3}0.000{col 58}{space 4}  -5.8311{col 71}{space 3}-3.454546
{txt}{space 12}775  {c |}{col 18}{res}{space 2}-5.183476{col 30}{space 2} .5899913{col 41}{space 1}   -8.79{col 50}{space 3}0.000{col 58}{space 4}-6.339837{col 71}{space 3}-4.027114
{txt}{space 12}780  {c |}{col 18}{res}{space 2}-6.849463{col 30}{space 2} .7369141{col 41}{space 1}   -9.29{col 50}{space 3}0.000{col 58}{space 4}-8.293788{col 71}{space 3}-5.405138
{txt}{space 12}790  {c |}{col 18}{res}{space 2} -5.97745{col 30}{space 2} 1.307206{col 41}{space 1}   -4.57{col 50}{space 3}0.000{col 58}{space 4}-8.539527{col 71}{space 3}-3.415373
{txt}{space 12}800  {c |}{col 18}{res}{space 2}-4.039428{col 30}{space 2} .5314476{col 41}{space 1}   -7.60{col 50}{space 3}0.000{col 58}{space 4}-5.081046{col 71}{space 3}-2.997809
{txt}{space 12}811  {c |}{col 18}{res}{space 2}-3.951896{col 30}{space 2} .7113343{col 41}{space 1}   -5.56{col 50}{space 3}0.000{col 58}{space 4}-5.346086{col 71}{space 3}-2.557706
{txt}{space 12}812  {c |}{col 18}{res}{space 2}-3.428156{col 30}{space 2}  .799496{col 41}{space 1}   -4.29{col 50}{space 3}0.000{col 58}{space 4}-4.995139{col 71}{space 3}-1.861172
{txt}{space 12}816  {c |}{col 18}{res}{space 2}-.8876295{col 30}{space 2} .7271892{col 41}{space 1}   -1.22{col 50}{space 3}0.222{col 58}{space 4}-2.312894{col 71}{space 3} .5376353
{txt}{space 12}817  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}820  {c |}{col 18}{res}{space 2}-5.009851{col 30}{space 2}  .613024{col 41}{space 1}   -8.17{col 50}{space 3}0.000{col 58}{space 4}-6.211356{col 71}{space 3}-3.808346
{txt}{space 12}830  {c |}{col 18}{res}{space 2}-5.073518{col 30}{space 2}  .625618{col 41}{space 1}   -8.11{col 50}{space 3}0.000{col 58}{space 4}-6.299706{col 71}{space 3}-3.847329
{txt}{space 12}840  {c |}{col 18}{res}{space 2}-5.756078{col 30}{space 2} .7004617{col 41}{space 1}   -8.22{col 50}{space 3}0.000{col 58}{space 4}-7.128957{col 71}{space 3}-4.383198
{txt}{space 12}850  {c |}{col 18}{res}{space 2}-3.263339{col 30}{space 2}  .574637{col 41}{space 1}   -5.68{col 50}{space 3}0.000{col 58}{space 4}-4.389607{col 71}{space 3}-2.137071
{txt}{space 12}900  {c |}{col 18}{res}{space 2}-3.736706{col 30}{space 2} .4779858{col 41}{space 1}   -7.82{col 50}{space 3}0.000{col 58}{space 4}-4.673541{col 71}{space 3}-2.799871
{txt}{space 12}910  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}920  {c |}{col 18}{res}{space 2}-5.047819{col 30}{space 2} .6231675{col 41}{space 1}   -8.10{col 50}{space 3}0.000{col 58}{space 4}-6.269205{col 71}{space 3}-3.826434
{txt}{space 12}940  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}950  {c |}{col 18}{res}{space 2}-7.392087{col 30}{space 2} 1.159775{col 41}{space 1}   -6.37{col 50}{space 3}0.000{col 58}{space 4}-9.665204{col 71}{space 3}-5.118969
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-6.603336{col 30}{space 2} 1.442957{col 41}{space 1}   -4.58{col 50}{space 3}0.000{col 58}{space 4} -9.43148{col 71}{space 3}-3.775192
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table19 , word label title(Table 19: Elite University Attendance For Senders and Targets With Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table19.rtf"'"':Table19.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table19.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode2, vce(cluster dyadid)

{txt}note: 41.ccode2 != 0 predicts failure perfectly
      41.ccode2 dropped and 4 obs not used

note: 42.ccode2 != 0 predicts failure perfectly
      42.ccode2 dropped and 1 obs not used

note: 90.ccode2 != 0 predicts failure perfectly
      90.ccode2 dropped and 7 obs not used

note: 92.ccode2 != 0 predicts failure perfectly
      92.ccode2 dropped and 6 obs not used

note: 94.ccode2 != 0 predicts failure perfectly
      94.ccode2 dropped and 5 obs not used

note: 101.ccode2 != 0 predicts failure perfectly
      101.ccode2 dropped and 10 obs not used

note: 135.ccode2 != 0 predicts success perfectly
      135.ccode2 dropped and 7 obs not used

note: 150.ccode2 != 0 predicts success perfectly
      150.ccode2 dropped and 7 obs not used

note: 165.ccode2 != 0 predicts failure perfectly
      165.ccode2 dropped and 5 obs not used

note: 205.ccode2 != 0 predicts failure perfectly
      205.ccode2 dropped and 2 obs not used

note: 211.ccode2 != 0 predicts failure perfectly
      211.ccode2 dropped and 2 obs not used

note: 265.ccode2 != 0 predicts failure perfectly
      265.ccode2 dropped and 1 obs not used

note: 290.ccode2 != 0 predicts failure perfectly
      290.ccode2 dropped and 6 obs not used

note: 339.ccode2 != 0 predicts failure perfectly
      339.ccode2 dropped and 9 obs not used

note: 343.ccode2 != 0 predicts failure perfectly
      343.ccode2 dropped and 2 obs not used

note: 346.ccode2 != 0 predicts failure perfectly
      346.ccode2 dropped and 1 obs not used

note: 350.ccode2 != 0 predicts failure perfectly
      350.ccode2 dropped and 2 obs not used

note: 367.ccode2 != 0 predicts success perfectly
      367.ccode2 dropped and 1 obs not used

note: 368.ccode2 != 0 predicts success perfectly
      368.ccode2 dropped and 1 obs not used

note: 370.ccode2 != 0 predicts failure perfectly
      370.ccode2 dropped and 2 obs not used

note: 371.ccode2 != 0 predicts failure perfectly
      371.ccode2 dropped and 4 obs not used

note: 373.ccode2 != 0 predicts failure perfectly
      373.ccode2 dropped and 4 obs not used

note: 380.ccode2 != 0 predicts failure perfectly
      380.ccode2 dropped and 1 obs not used

note: 420.ccode2 != 0 predicts success perfectly
      420.ccode2 dropped and 1 obs not used

note: 437.ccode2 != 0 predicts success perfectly
      437.ccode2 dropped and 1 obs not used

note: 439.ccode2 != 0 predicts success perfectly
      439.ccode2 dropped and 2 obs not used

note: 450.ccode2 != 0 predicts failure perfectly
      450.ccode2 dropped and 1 obs not used

note: 461.ccode2 != 0 predicts success perfectly
      461.ccode2 dropped and 1 obs not used

note: 475.ccode2 != 0 predicts failure perfectly
      475.ccode2 dropped and 6 obs not used

note: 481.ccode2 != 0 predicts success perfectly
      481.ccode2 dropped and 1 obs not used

note: 500.ccode2 != 0 predicts failure perfectly
      500.ccode2 dropped and 7 obs not used

note: 517.ccode2 != 0 predicts success perfectly
      517.ccode2 dropped and 1 obs not used

note: 530.ccode2 != 0 predicts failure perfectly
      530.ccode2 dropped and 4 obs not used

note: 531.ccode2 != 0 predicts failure perfectly
      531.ccode2 dropped and 2 obs not used

note: 551.ccode2 != 0 predicts failure perfectly
      551.ccode2 dropped and 2 obs not used

note: 552.ccode2 != 0 predicts failure perfectly
      552.ccode2 dropped and 19 obs not used

note: 600.ccode2 != 0 predicts success perfectly
      600.ccode2 dropped and 2 obs not used

note: 615.ccode2 != 0 predicts success perfectly
      615.ccode2 dropped and 1 obs not used

note: 620.ccode2 != 0 predicts failure perfectly
      620.ccode2 dropped and 28 obs not used

note: 625.ccode2 != 0 predicts failure perfectly
      625.ccode2 dropped and 5 obs not used

note: 663.ccode2 != 0 predicts success perfectly
      663.ccode2 dropped and 4 obs not used

note: 680.ccode2 != 0 predicts failure perfectly
      680.ccode2 dropped and 2 obs not used

note: 690.ccode2 != 0 predicts success perfectly
      690.ccode2 dropped and 1 obs not used

note: 692.ccode2 != 0 predicts success perfectly
      692.ccode2 dropped and 1 obs not used

note: 700.ccode2 != 0 predicts failure perfectly
      700.ccode2 dropped and 4 obs not used

note: 703.ccode2 != 0 predicts failure perfectly
      703.ccode2 dropped and 1 obs not used

note: 704.ccode2 != 0 predicts failure perfectly
      704.ccode2 dropped and 1 obs not used

note: 731.ccode2 != 0 predicts failure perfectly
      731.ccode2 dropped and 4 obs not used

note: 771.ccode2 != 0 predicts success perfectly
      771.ccode2 dropped and 3 obs not used

note: 775.ccode2 != 0 predicts failure perfectly
      775.ccode2 dropped and 3 obs not used

note: 780.ccode2 != 0 predicts success perfectly
      780.ccode2 dropped and 2 obs not used

note: 790.ccode2 != 0 predicts failure perfectly
      790.ccode2 dropped and 2 obs not used

note: 811.ccode2 != 0 predicts failure perfectly
      811.ccode2 dropped and 9 obs not used

note: 812.ccode2 != 0 predicts failure perfectly
      812.ccode2 dropped and 20 obs not used

note: 816.ccode2 != 0 predicts failure perfectly
      816.ccode2 dropped and 32 obs not used

note: 840.ccode2 != 0 predicts success perfectly
      840.ccode2 dropped and 2 obs not used

note: 950.ccode2 != 0 predicts failure perfectly
      950.ccode2 dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-457.63231}  
Iteration 1:{space 3}log pseudolikelihood = {res:-361.72899}  
Iteration 2:{space 3}log pseudolikelihood = {res:-358.42419}  
Iteration 3:{space 3}log pseudolikelihood = {res: -358.3948}  
Iteration 4:{space 3}log pseudolikelihood = {res:-358.39477}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       688
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(57)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-358.39477{txt}{col 51}Pseudo R2{col 67}= {res}    0.2168

{txt}{ralign 82:(Std. Err. adjusted for {res:198} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.5108385{col 30}{space 2} .8733763{col 41}{space 1}   -0.58{col 50}{space 3}0.559{col 58}{space 4}-2.222625{col 71}{space 3} 1.200948
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-.7501887{col 30}{space 2} .9520028{col 41}{space 1}   -0.79{col 50}{space 3}0.431{col 58}{space 4} -2.61608{col 71}{space 3} 1.115702
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2453191{col 30}{space 2} .6375624{col 41}{space 1}    0.38{col 50}{space 3}0.700{col 58}{space 4} -1.00428{col 71}{space 3} 1.494918
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} .5949779{col 30}{space 2} 1.730284{col 41}{space 1}    0.34{col 50}{space 3}0.731{col 58}{space 4}-2.796316{col 71}{space 3} 3.986272
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .9864635{col 30}{space 2} 1.379995{col 41}{space 1}    0.71{col 50}{space 3}0.475{col 58}{space 4}-1.718277{col 71}{space 3} 3.691204
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.965722{col 30}{space 2} .9675533{col 41}{space 1}   -3.07{col 50}{space 3}0.002{col 58}{space 4}-4.862091{col 71}{space 3}-1.069352
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .6116467{col 30}{space 2} .3657304{col 41}{space 1}    1.67{col 50}{space 3}0.094{col 58}{space 4}-.1051716{col 71}{space 3} 1.328465
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2} .1586188{col 30}{space 2} .6096344{col 41}{space 1}    0.26{col 50}{space 3}0.795{col 58}{space 4}-1.036243{col 71}{space 3}  1.35348
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.305325{col 30}{space 2} .7446099{col 41}{space 1}    1.75{col 50}{space 3}0.080{col 58}{space 4}-.1540841{col 71}{space 3} 2.764733
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-23.17812{col 30}{space 2} 13.04177{col 41}{space 1}   -1.78{col 50}{space 3}0.076{col 58}{space 4}-48.73951{col 71}{space 3} 2.383282
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 2.206271{col 30}{space 2} .5279722{col 41}{space 1}    4.18{col 50}{space 3}0.000{col 58}{space 4} 1.171465{col 71}{space 3} 3.241078
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}-.0626802{col 30}{space 2} .0462022{col 41}{space 1}   -1.36{col 50}{space 3}0.175{col 58}{space 4}-.1532349{col 71}{space 3} .0278745
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2}-.0325922{col 30}{space 2} .0519486{col 41}{space 1}   -0.63{col 50}{space 3}0.530{col 58}{space 4}-.1344095{col 71}{space 3} .0692252
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0478813{col 30}{space 2} .0440919{col 41}{space 1}    1.09{col 50}{space 3}0.278{col 58}{space 4}-.0385373{col 71}{space 3} .1342998
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.7557022{col 30}{space 2} .3877453{col 41}{space 1}   -1.95{col 50}{space 3}0.051{col 58}{space 4}-1.515669{col 71}{space 3} .0042646
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.3066221{col 30}{space 2} .1741401{col 41}{space 1}   -1.76{col 50}{space 3}0.078{col 58}{space 4}-.6479303{col 71}{space 3} .0346862
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.2641813{col 30}{space 2}  .710301{col 41}{space 1}   -0.37{col 50}{space 3}0.710{col 58}{space 4}-1.656346{col 71}{space 3} 1.127983
{txt}{space 16} {c |}
{space 10}ccode2 {c |}
{space 13}20  {c |}{col 18}{res}{space 2}-.0588779{col 30}{space 2} .7838682{col 41}{space 1}   -0.08{col 50}{space 3}0.940{col 58}{space 4}-1.595231{col 71}{space 3} 1.477475
{txt}{space 13}41  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}42  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}70  {c |}{col 18}{res}{space 2}-.7514109{col 30}{space 2} .8103188{col 41}{space 1}   -0.93{col 50}{space 3}0.354{col 58}{space 4}-2.339607{col 71}{space 3} .8367847
{txt}{space 13}90  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}91  {c |}{col 18}{res}{space 2}-.6275463{col 30}{space 2} 1.561615{col 41}{space 1}   -0.40{col 50}{space 3}0.688{col 58}{space 4}-3.688254{col 71}{space 3} 2.433162
{txt}{space 13}92  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}93  {c |}{col 18}{res}{space 2}-2.639764{col 30}{space 2} 1.295948{col 41}{space 1}   -2.04{col 50}{space 3}0.042{col 58}{space 4}-5.179776{col 71}{space 3}-.0997522
{txt}{space 13}94  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}95  {c |}{col 18}{res}{space 2}-.5363165{col 30}{space 2} 1.409686{col 41}{space 1}   -0.38{col 50}{space 3}0.704{col 58}{space 4}-3.299251{col 71}{space 3} 2.226618
{txt}{space 12}100  {c |}{col 18}{res}{space 2}-1.443471{col 30}{space 2} .8644226{col 41}{space 1}   -1.67{col 50}{space 3}0.095{col 58}{space 4}-3.137708{col 71}{space 3} .2507664
{txt}{space 12}101  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}130  {c |}{col 18}{res}{space 2}-1.051984{col 30}{space 2} .9833897{col 41}{space 1}   -1.07{col 50}{space 3}0.285{col 58}{space 4}-2.979393{col 71}{space 3} .8754244
{txt}{space 12}135  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}140  {c |}{col 18}{res}{space 2}-1.531754{col 30}{space 2} .8590494{col 41}{space 1}   -1.78{col 50}{space 3}0.075{col 58}{space 4} -3.21546{col 71}{space 3} .1519521
{txt}{space 12}145  {c |}{col 18}{res}{space 2}-1.259545{col 30}{space 2} 1.241668{col 41}{space 1}   -1.01{col 50}{space 3}0.310{col 58}{space 4}-3.693169{col 71}{space 3}  1.17408
{txt}{space 12}150  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}155  {c |}{col 18}{res}{space 2}-1.886177{col 30}{space 2}  1.66014{col 41}{space 1}   -1.14{col 50}{space 3}0.256{col 58}{space 4}-5.139992{col 71}{space 3} 1.367637
{txt}{space 12}160  {c |}{col 18}{res}{space 2}-1.293491{col 30}{space 2}  1.00233{col 41}{space 1}   -1.29{col 50}{space 3}0.197{col 58}{space 4}-3.258022{col 71}{space 3} .6710399
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{space 16} {c |}
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{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table19 , word label title(Table 19: Elite University Attendance For Senders and Targets With Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table19.rtf"'"':Table19.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table19.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 20****
. *Model 1*
. logit threat sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode1, iterate(10) cluster(dyadid)

{txt}note: 40.ccode1 != 0 predicts failure perfectly
      40.ccode1 dropped and 4559 obs not used

note: 41.ccode1 != 0 predicts failure perfectly
      41.ccode1 dropped and 4554 obs not used

note: 42.ccode1 != 0 predicts failure perfectly
      42.ccode1 dropped and 4554 obs not used

note: 51.ccode1 != 0 predicts failure perfectly
      51.ccode1 dropped and 4553 obs not used

note: 52.ccode1 != 0 predicts failure perfectly
      52.ccode1 dropped and 4554 obs not used

note: 90.ccode1 != 0 predicts failure perfectly
      90.ccode1 dropped and 4553 obs not used

note: 91.ccode1 != 0 predicts failure perfectly
      91.ccode1 dropped and 4539 obs not used

note: 92.ccode1 != 0 predicts failure perfectly
      92.ccode1 dropped and 4542 obs not used

note: 93.ccode1 != 0 predicts failure perfectly
      93.ccode1 dropped and 4553 obs not used

note: 94.ccode1 != 0 predicts failure perfectly
      94.ccode1 dropped and 4543 obs not used

note: 95.ccode1 != 0 predicts failure perfectly
      95.ccode1 dropped and 4546 obs not used

note: 101.ccode1 != 0 predicts failure perfectly
      101.ccode1 dropped and 4553 obs not used

note: 110.ccode1 != 0 predicts failure perfectly
      110.ccode1 dropped and 4548 obs not used

note: 130.ccode1 != 0 predicts failure perfectly
      130.ccode1 dropped and 4553 obs not used

note: 135.ccode1 != 0 predicts failure perfectly
      135.ccode1 dropped and 4553 obs not used

note: 145.ccode1 != 0 predicts failure perfectly
      145.ccode1 dropped and 4537 obs not used

note: 150.ccode1 != 0 predicts failure perfectly
      150.ccode1 dropped and 4553 obs not used

note: 165.ccode1 != 0 predicts failure perfectly
      165.ccode1 dropped and 4554 obs not used

note: 205.ccode1 != 0 predicts failure perfectly
      205.ccode1 dropped and 4554 obs not used

note: 210.ccode1 != 0 predicts failure perfectly
      210.ccode1 dropped and 4554 obs not used

note: 211.ccode1 != 0 predicts failure perfectly
      211.ccode1 dropped and 4554 obs not used

note: 235.ccode1 != 0 predicts failure perfectly
      235.ccode1 dropped and 4554 obs not used

note: 265.ccode1 != 0 predicts failure perfectly
      265.ccode1 dropped and 2726 obs not used

note: 290.ccode1 != 0 predicts failure perfectly
      290.ccode1 dropped and 4559 obs not used

note: 305.ccode1 != 0 predicts failure perfectly
      305.ccode1 dropped and 4554 obs not used

note: 310.ccode1 != 0 predicts failure perfectly
      310.ccode1 dropped and 4559 obs not used

note: 315.ccode1 != 0 predicts failure perfectly
      315.ccode1 dropped and 3316 obs not used

note: 317.ccode1 != 0 predicts failure perfectly
      317.ccode1 dropped and 1242 obs not used

note: 339.ccode1 != 0 predicts failure perfectly
      339.ccode1 dropped and 4527 obs not used

note: 343.ccode1 != 0 predicts failure perfectly
      343.ccode1 dropped and 1242 obs not used

note: 344.ccode1 != 0 predicts failure perfectly
      344.ccode1 dropped and 1396 obs not used

note: 346.ccode1 != 0 predicts failure perfectly
      346.ccode1 dropped and 464 obs not used

note: 349.ccode1 != 0 predicts failure perfectly
      349.ccode1 dropped and 1396 obs not used

note: 352.ccode1 != 0 predicts failure perfectly
      352.ccode1 dropped and 4554 obs not used

note: 355.ccode1 != 0 predicts failure perfectly
      355.ccode1 dropped and 4559 obs not used

note: 359.ccode1 != 0 predicts failure perfectly
      359.ccode1 dropped and 1518 obs not used

note: 360.ccode1 != 0 predicts failure perfectly
      360.ccode1 dropped and 4559 obs not used

note: 366.ccode1 != 0 predicts failure perfectly
      366.ccode1 dropped and 1537 obs not used

note: 367.ccode1 != 0 predicts failure perfectly
      367.ccode1 dropped and 1538 obs not used

note: 368.ccode1 != 0 predicts failure perfectly
      368.ccode1 dropped and 1539 obs not used

note: 369.ccode1 != 0 predicts failure perfectly
      369.ccode1 dropped and 1546 obs not used

note: 370.ccode1 != 0 predicts failure perfectly
      370.ccode1 dropped and 1543 obs not used

note: 372.ccode1 != 0 predicts failure perfectly
      372.ccode1 dropped and 1525 obs not used

note: 375.ccode1 != 0 predicts failure perfectly
      375.ccode1 dropped and 4554 obs not used

note: 385.ccode1 != 0 predicts failure perfectly
      385.ccode1 dropped and 4554 obs not used

note: 390.ccode1 != 0 predicts failure perfectly
      390.ccode1 dropped and 4554 obs not used

note: 404.ccode1 != 0 predicts failure perfectly
      404.ccode1 dropped and 3890 obs not used

note: 411.ccode1 != 0 predicts failure perfectly
      411.ccode1 dropped and 4510 obs not used

note: 420.ccode1 != 0 predicts failure perfectly
      420.ccode1 dropped and 4539 obs not used

note: 432.ccode1 != 0 predicts failure perfectly
      432.ccode1 dropped and 4556 obs not used

note: 433.ccode1 != 0 predicts failure perfectly
      433.ccode1 dropped and 4556 obs not used

note: 434.ccode1 != 0 predicts failure perfectly
      434.ccode1 dropped and 4556 obs not used

note: 435.ccode1 != 0 predicts failure perfectly
      435.ccode1 dropped and 4556 obs not used

note: 436.ccode1 != 0 predicts failure perfectly
      436.ccode1 dropped and 4555 obs not used

note: 437.ccode1 != 0 predicts failure perfectly
      437.ccode1 dropped and 4555 obs not used

note: 438.ccode1 != 0 predicts failure perfectly
      438.ccode1 dropped and 4546 obs not used

note: 439.ccode1 != 0 predicts failure perfectly
      439.ccode1 dropped and 4556 obs not used

note: 450.ccode1 != 0 predicts failure perfectly
      450.ccode1 dropped and 4535 obs not used

note: 451.ccode1 != 0 predicts failure perfectly
      451.ccode1 dropped and 4555 obs not used

note: 452.ccode1 != 0 predicts failure perfectly
      452.ccode1 dropped and 4555 obs not used

note: 461.ccode1 != 0 predicts failure perfectly
      461.ccode1 dropped and 4555 obs not used

note: 471.ccode1 != 0 predicts failure perfectly
      471.ccode1 dropped and 4555 obs not used

note: 481.ccode1 != 0 predicts failure perfectly
      481.ccode1 dropped and 4556 obs not used

note: 482.ccode1 != 0 predicts failure perfectly
      482.ccode1 dropped and 4555 obs not used

note: 483.ccode1 != 0 predicts failure perfectly
      483.ccode1 dropped and 4556 obs not used

note: 484.ccode1 != 0 predicts failure perfectly
      484.ccode1 dropped and 4555 obs not used

note: 490.ccode1 != 0 predicts failure perfectly
      490.ccode1 dropped and 4555 obs not used

note: 500.ccode1 != 0 predicts failure perfectly
      500.ccode1 dropped and 4418 obs not used

note: 517.ccode1 != 0 predicts failure perfectly
      517.ccode1 dropped and 4535 obs not used

note: 520.ccode1 != 0 predicts failure perfectly
      520.ccode1 dropped and 4547 obs not used

note: 522.ccode1 != 0 predicts failure perfectly
      522.ccode1 dropped and 3467 obs not used

note: 530.ccode1 != 0 predicts failure perfectly
      530.ccode1 dropped and 4545 obs not used

note: 531.ccode1 != 0 predicts failure perfectly
      531.ccode1 dropped and 1242 obs not used

note: 540.ccode1 != 0 predicts failure perfectly
      540.ccode1 dropped and 3668 obs not used

note: 541.ccode1 != 0 predicts failure perfectly
      541.ccode1 dropped and 3763 obs not used

note: 553.ccode1 != 0 predicts failure perfectly
      553.ccode1 dropped and 4555 obs not used

note: 560.ccode1 != 0 predicts failure perfectly
      560.ccode1 dropped and 4553 obs not used

note: 565.ccode1 != 0 predicts failure perfectly
      565.ccode1 dropped and 1684 obs not used

note: 570.ccode1 != 0 predicts failure perfectly
      570.ccode1 dropped and 4549 obs not used

note: 571.ccode1 != 0 predicts failure perfectly
      571.ccode1 dropped and 4549 obs not used

note: 572.ccode1 != 0 predicts failure perfectly
      572.ccode1 dropped and 4554 obs not used

note: 580.ccode1 != 0 predicts failure perfectly
      580.ccode1 dropped and 4555 obs not used

note: 581.ccode1 != 0 predicts failure perfectly
      581.ccode1 dropped and 3744 obs not used

note: 590.ccode1 != 0 predicts failure perfectly
      590.ccode1 dropped and 4555 obs not used

note: 600.ccode1 != 0 predicts failure perfectly
      600.ccode1 dropped and 4556 obs not used

note: 615.ccode1 != 0 predicts failure perfectly
      615.ccode1 dropped and 4556 obs not used

note: 616.ccode1 != 0 predicts failure perfectly
      616.ccode1 dropped and 4556 obs not used

note: 663.ccode1 != 0 predicts failure perfectly
      663.ccode1 dropped and 4555 obs not used

note: 678.ccode1 != 0 predicts failure perfectly
      678.ccode1 dropped and 2986 obs not used

note: 680.ccode1 != 0 predicts failure perfectly
      680.ccode1 dropped and 2981 obs not used

note: 692.ccode1 != 0 predicts failure perfectly
      692.ccode1 dropped and 4277 obs not used

note: 694.ccode1 != 0 predicts failure perfectly
      694.ccode1 dropped and 4290 obs not used

note: 696.ccode1 != 0 predicts failure perfectly
      696.ccode1 dropped and 4290 obs not used

note: 698.ccode1 != 0 predicts failure perfectly
      698.ccode1 dropped and 4286 obs not used

note: 701.ccode1 != 0 predicts failure perfectly
      701.ccode1 dropped and 1521 obs not used

note: 702.ccode1 != 0 predicts failure perfectly
      702.ccode1 dropped and 1520 obs not used

note: 703.ccode1 != 0 predicts failure perfectly
      703.ccode1 dropped and 1521 obs not used

note: 704.ccode1 != 0 predicts failure perfectly
      704.ccode1 dropped and 1544 obs not used

note: 712.ccode1 != 0 predicts failure perfectly
      712.ccode1 dropped and 4533 obs not used

note: 731.ccode1 != 0 predicts failure perfectly
      731.ccode1 dropped and 3923 obs not used

note: 760.ccode1 != 0 predicts failure perfectly
      760.ccode1 dropped and 4275 obs not used

note: 770.ccode1 != 0 predicts failure perfectly
      770.ccode1 dropped and 4554 obs not used

note: 771.ccode1 != 0 predicts failure perfectly
      771.ccode1 dropped and 4170 obs not used

note: 775.ccode1 != 0 predicts failure perfectly
      775.ccode1 dropped and 4547 obs not used

note: 780.ccode1 != 0 predicts failure perfectly
      780.ccode1 dropped and 4554 obs not used

note: 790.ccode1 != 0 predicts failure perfectly
      790.ccode1 dropped and 4537 obs not used

note: 811.ccode1 != 0 predicts failure perfectly
      811.ccode1 dropped and 3297 obs not used

note: 812.ccode1 != 0 predicts failure perfectly
      812.ccode1 dropped and 4547 obs not used

note: 816.ccode1 != 0 predicts failure perfectly
      816.ccode1 dropped and 4537 obs not used

note: 817.ccode1 != 0 predicts failure perfectly
      817.ccode1 dropped and 920 obs not used

note: 840.ccode1 != 0 predicts failure perfectly
      840.ccode1 dropped and 4545 obs not used

note: 910.ccode1 != 0 predicts failure perfectly
      910.ccode1 dropped and 3758 obs not used

note: 940.ccode1 != 0 predicts failure perfectly
      940.ccode1 dropped and 3340 obs not used

note: 950.ccode1 != 0 predicts failure perfectly
      950.ccode1 dropped and 4418 obs not used

note: 920.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6591.6807}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4793.7686}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4108.3567}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3845.2642}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3836.5944}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3836.3449}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3836.3443}  
Iteration 7:{space 3}log pseudolikelihood = {res:-3836.3443}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    211520
{txt}{col 51}Wald chi2({res}65{txt}){col 67}= {res}   1938.41
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3836.3443{txt}{col 51}Pseudo R2{col 67}= {res}    0.4180

{txt}{ralign 81:(Std. Err. adjusted for {res:7902} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.2843195{col 29}{space 2} .1153025{col 40}{space 1}   -2.47{col 49}{space 3}0.014{col 57}{space 4}-.5103084{col 70}{space 3}-.0583307
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.1633168{col 29}{space 2} .1253948{col 40}{space 1}   -1.30{col 49}{space 3}0.193{col 57}{space 4}-.4090861{col 70}{space 3} .0824526
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .0480859{col 29}{space 2} .4075113{col 40}{space 1}    0.12{col 49}{space 3}0.906{col 57}{space 4}-.7506216{col 70}{space 3} .8467934
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .1253649{col 29}{space 2} .3125929{col 40}{space 1}    0.40{col 49}{space 3}0.688{col 57}{space 4}-.4873061{col 70}{space 3} .7380358
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .4408543{col 29}{space 2} .1628577{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .1216591{col 70}{space 3} .7600495
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5675137{col 29}{space 2} .2633307{col 40}{space 1}   -2.16{col 49}{space 3}0.031{col 57}{space 4}-1.083632{col 70}{space 3} -.051395
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .3573228{col 29}{space 2} .3864486{col 40}{space 1}    0.92{col 49}{space 3}0.355{col 57}{space 4}-.4001025{col 70}{space 3} 1.114748
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 33.76219{col 29}{space 2} 7.273106{col 40}{space 1}    4.64{col 49}{space 3}0.000{col 57}{space 4} 19.50716{col 70}{space 3} 48.01721
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 9.202725{col 29}{space 2} 1.122421{col 40}{space 1}    8.20{col 49}{space 3}0.000{col 57}{space 4} 7.002821{col 70}{space 3} 11.40263
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0816482{col 29}{space 2} .0373029{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .0085358{col 70}{space 3} .1547606
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0512348{col 29}{space 2} .0185552{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .0148674{col 70}{space 3} .0876023
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0527571{col 29}{space 2} .0197332{col 40}{space 1}   -2.67{col 49}{space 3}0.008{col 57}{space 4}-.0914335{col 70}{space 3}-.0140807
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .7244091{col 29}{space 2} .1972265{col 40}{space 1}    3.67{col 49}{space 3}0.000{col 57}{space 4} .3378522{col 70}{space 3} 1.110966
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.5071801{col 29}{space 2}  .058529{col 40}{space 1}   -8.67{col 49}{space 3}0.000{col 57}{space 4}-.6218949{col 70}{space 3}-.3924653
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.229118{col 29}{space 2} .4800702{col 40}{space 1}    4.64{col 49}{space 3}0.000{col 57}{space 4} 1.288197{col 70}{space 3} 3.170038
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3329632{col 29}{space 2} .0419429{col 40}{space 1}   -7.94{col 49}{space 3}0.000{col 57}{space 4}-.4151699{col 70}{space 3}-.2507566
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0232069{col 29}{space 2} .0033367{col 40}{space 1}    6.96{col 49}{space 3}0.000{col 57}{space 4} .0166672{col 70}{space 3} .0297467
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004622{col 29}{space 2} .0000752{col 40}{space 1}   -6.15{col 49}{space 3}0.000{col 57}{space 4}-.0006096{col 70}{space 3}-.0003148
{txt}{space 15} {c |}
{space 9}ccode1 {c |}
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{space 11}680  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}690  {c |}{col 17}{res}{space 2} 1.615373{col 29}{space 2} 1.545971{col 40}{space 1}    1.04{col 49}{space 3}0.296{col 57}{space 4}-1.414676{col 70}{space 3} 4.645421
{txt}{space 11}692  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}694  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}696  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}698  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}700  {c |}{col 17}{res}{space 2} 2.308533{col 29}{space 2} 1.318721{col 40}{space 1}    1.75{col 49}{space 3}0.080{col 57}{space 4}-.2761122{col 70}{space 3} 4.893178
{txt}{space 11}701  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}702  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}703  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}704  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}705  {c |}{col 17}{res}{space 2} 4.394458{col 29}{space 2} 1.296636{col 40}{space 1}    3.39{col 49}{space 3}0.001{col 57}{space 4} 1.853098{col 70}{space 3} 6.935818
{txt}{space 11}710  {c |}{col 17}{res}{space 2} 7.271757{col 29}{space 2} 1.369188{col 40}{space 1}    5.31{col 49}{space 3}0.000{col 57}{space 4} 4.588198{col 70}{space 3} 9.955315
{txt}{space 11}712  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}713  {c |}{col 17}{res}{space 2} 4.841269{col 29}{space 2} 1.389751{col 40}{space 1}    3.48{col 49}{space 3}0.000{col 57}{space 4} 2.117408{col 70}{space 3} 7.565131
{txt}{space 11}731  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}732  {c |}{col 17}{res}{space 2} 3.282992{col 29}{space 2} 1.280411{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4}  .773433{col 70}{space 3} 5.792551
{txt}{space 11}740  {c |}{col 17}{res}{space 2} 4.340918{col 29}{space 2} 1.178628{col 40}{space 1}    3.68{col 49}{space 3}0.000{col 57}{space 4}  2.03085{col 70}{space 3} 6.650986
{txt}{space 11}750  {c |}{col 17}{res}{space 2} 5.198731{col 29}{space 2} 1.110606{col 40}{space 1}    4.68{col 49}{space 3}0.000{col 57}{space 4} 3.021983{col 70}{space 3}  7.37548
{txt}{space 11}760  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}770  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}771  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}775  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}780  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}790  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}800  {c |}{col 17}{res}{space 2} 1.405088{col 29}{space 2} 1.405058{col 40}{space 1}    1.00{col 49}{space 3}0.317{col 57}{space 4}-1.348775{col 70}{space 3} 4.158952
{txt}{space 11}811  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}812  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}816  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}817  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}820  {c |}{col 17}{res}{space 2} .8251368{col 29}{space 2} 1.461047{col 40}{space 1}    0.56{col 49}{space 3}0.572{col 57}{space 4}-2.038462{col 70}{space 3} 3.688735
{txt}{space 11}830  {c |}{col 17}{res}{space 2} 1.252153{col 29}{space 2}  1.71379{col 40}{space 1}    0.73{col 49}{space 3}0.465{col 57}{space 4}-2.106815{col 70}{space 3}  4.61112
{txt}{space 11}840  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}850  {c |}{col 17}{res}{space 2} 2.546954{col 29}{space 2} 1.538541{col 40}{space 1}    1.66{col 49}{space 3}0.098{col 57}{space 4}-.4685312{col 70}{space 3} 5.562439
{txt}{space 11}900  {c |}{col 17}{res}{space 2} 2.724703{col 29}{space 2} 1.137412{col 40}{space 1}    2.40{col 49}{space 3}0.017{col 57}{space 4} .4954159{col 70}{space 3}  4.95399
{txt}{space 11}910  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}920  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 11}940  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}950  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-10.16118{col 29}{space 2} 1.604348{col 40}{space 1}   -6.33{col 49}{space 3}0.000{col 57}{space 4}-13.30564{col 70}{space 3}-7.016715
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table20 , word label title(Table 20: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table20.rtf"'"':Table20.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table20.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode1, vce(cluster dyadid)

{txt}note: 100.ccode1 != 0 predicts failure perfectly
      100.ccode1 dropped and 6 obs not used

note: 155.ccode1 != 0 predicts success perfectly
      155.ccode1 dropped and 7 obs not used

note: 160.ccode1 != 0 predicts failure perfectly
      160.ccode1 dropped and 8 obs not used

note: 225.ccode1 != 0 predicts failure perfectly
      225.ccode1 dropped and 5 obs not used

note: 350.ccode1 != 0 predicts failure perfectly
      350.ccode1 dropped and 4 obs not used

note: 371.ccode1 != 0 predicts failure perfectly
      371.ccode1 dropped and 4 obs not used

note: 373.ccode1 != 0 predicts failure perfectly
      373.ccode1 dropped and 4 obs not used

note: 380.ccode1 != 0 predicts failure perfectly
      380.ccode1 dropped and 1 obs not used

note: 501.ccode1 != 0 predicts failure perfectly
      501.ccode1 dropped and 1 obs not used

note: 510.ccode1 != 0 predicts failure perfectly
      510.ccode1 dropped and 4 obs not used

note: 516.ccode1 != 0 predicts success perfectly
      516.ccode1 dropped and 6 obs not used

note: 551.ccode1 != 0 predicts failure perfectly
      551.ccode1 dropped and 6 obs not used

note: 552.ccode1 != 0 predicts failure perfectly
      552.ccode1 dropped and 2 obs not used

note: 620.ccode1 != 0 predicts success perfectly
      620.ccode1 dropped and 3 obs not used

note: 625.ccode1 != 0 predicts failure perfectly
      625.ccode1 dropped and 1 obs not used

note: 651.ccode1 != 0 predicts failure perfectly
      651.ccode1 dropped and 7 obs not used

note: 652.ccode1 != 0 predicts success perfectly
      652.ccode1 dropped and 1 obs not used

note: 660.ccode1 != 0 predicts success perfectly
      660.ccode1 dropped and 1 obs not used

note: 690.ccode1 != 0 predicts success perfectly
      690.ccode1 dropped and 1 obs not used

note: 700.ccode1 != 0 predicts failure perfectly
      700.ccode1 dropped and 2 obs not used

note: 705.ccode1 != 0 predicts failure perfectly
      705.ccode1 dropped and 4 obs not used

note: 732.ccode1 != 0 predicts failure perfectly
      732.ccode1 dropped and 4 obs not used

note: 800.ccode1 != 0 predicts success perfectly
      800.ccode1 dropped and 1 obs not used

note: 820.ccode1 != 0 predicts success perfectly
      820.ccode1 dropped and 1 obs not used

note: 830.ccode1 != 0 predicts failure perfectly
      830.ccode1 dropped and 2 obs not used

note: 850.ccode1 != 0 predicts failure perfectly
      850.ccode1 dropped and 1 obs not used

note: 920.ccode1 != 0 predicts failure perfectly
      920.ccode1 dropped and 1 obs not used

note: 900.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -598.9757}  
Iteration 1:{space 3}log pseudolikelihood = {res:-511.55359}  
Iteration 2:{space 3}log pseudolikelihood = {res:-509.26347}  
Iteration 3:{space 3}log pseudolikelihood = {res:-509.24815}  
Iteration 4:{space 3}log pseudolikelihood = {res:-509.24811}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       957
{txt}{col 51}Wald chi2({res}35{txt}){col 67}= {res}     86.71
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-509.24811{txt}{col 51}Pseudo R2{col 67}= {res}    0.1498

{txt}{ralign 79:(Std. Err. adjusted for {res:241} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.5536056{col 27}{space 2}  .218816{col 38}{space 1}   -2.53{col 47}{space 3}0.011{col 55}{space 4}-.9824771{col 68}{space 3}-.1247341
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2} .1607771{col 27}{space 2} .1850468{col 38}{space 1}    0.87{col 47}{space 3}0.385{col 55}{space 4}-.2019079{col 68}{space 3} .5234621
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4916645{col 27}{space 2} 1.118088{col 38}{space 1}    0.44{col 47}{space 3}0.660{col 55}{space 4}-1.699748{col 68}{space 3} 2.683077
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.171372{col 27}{space 2} .8915358{col 38}{space 1}   -2.44{col 47}{space 3}0.015{col 55}{space 4} -3.91875{col 68}{space 3}-.4239943
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .8213919{col 27}{space 2} .2771585{col 38}{space 1}    2.96{col 47}{space 3}0.003{col 55}{space 4} .2781711{col 68}{space 3} 1.364613
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.394937{col 27}{space 2} .4309198{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-2.239524{col 68}{space 3}-.5503495
{txt}igomember_log {c |}{col 15}{res}{space 2}  1.18616{col 27}{space 2} .5517089{col 38}{space 1}    2.15{col 47}{space 3}0.032{col 55}{space 4} .1048308{col 68}{space 3}  2.26749
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} .5148779{col 27}{space 2} 19.55297{col 38}{space 1}    0.03{col 47}{space 3}0.979{col 55}{space 4}-37.80823{col 68}{space 3} 38.83799
{txt}{space 5}ussender {c |}{col 15}{res}{space 2}  1.03303{col 27}{space 2}  1.40514{col 38}{space 1}    0.74{col 47}{space 3}0.462{col 55}{space 4}-1.720995{col 68}{space 3} 3.787054
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.1418469{col 27}{space 2} .1882655{col 38}{space 1}   -0.75{col 47}{space 3}0.451{col 55}{space 4}-.5108404{col 68}{space 3} .2271467
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0261527{col 27}{space 2} .0363062{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-.0450063{col 68}{space 3} .0973116
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0707038{col 27}{space 2} .0385159{col 38}{space 1}    1.84{col 47}{space 3}0.066{col 55}{space 4} -.004786{col 68}{space 3} .1461936
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1169621{col 27}{space 2} .3363034{col 38}{space 1}   -0.35{col 47}{space 3}0.728{col 55}{space 4}-.7761047{col 68}{space 3} .5421804
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2049676{col 27}{space 2} .0990151{col 38}{space 1}   -2.07{col 47}{space 3}0.038{col 55}{space 4}-.3990337{col 68}{space 3}-.0109015
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2371854{col 27}{space 2} .4710723{col 38}{space 1}   -0.50{col 47}{space 3}0.615{col 55}{space 4} -1.16047{col 68}{space 3} .6860993
{txt}{space 13} {c |}
{space 7}ccode1 {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-.2662448{col 27}{space 2} 1.365092{col 38}{space 1}   -0.20{col 47}{space 3}0.845{col 55}{space 4}-2.941775{col 68}{space 3} 2.409286
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-1.757614{col 27}{space 2} 2.094466{col 38}{space 1}   -0.84{col 47}{space 3}0.401{col 55}{space 4}-5.862691{col 68}{space 3} 2.347463
{txt}{space 9}100  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}140  {c |}{col 15}{res}{space 2} .9511062{col 27}{space 2}  1.95694{col 38}{space 1}    0.49{col 47}{space 3}0.627{col 55}{space 4}-2.884425{col 68}{space 3} 4.786638
{txt}{space 9}155  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}160  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}200  {c |}{col 15}{res}{space 2} .4236374{col 27}{space 2}  1.44926{col 38}{space 1}    0.29{col 47}{space 3}0.770{col 55}{space 4}-2.416861{col 68}{space 3} 3.264136
{txt}{space 9}220  {c |}{col 15}{res}{space 2}  .067135{col 27}{space 2}  1.89842{col 38}{space 1}    0.04{col 47}{space 3}0.972{col 55}{space 4}  -3.6537{col 68}{space 3} 3.787969
{txt}{space 9}225  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}230  {c |}{col 15}{res}{space 2}-.4958768{col 27}{space 2} 1.794611{col 38}{space 1}   -0.28{col 47}{space 3}0.782{col 55}{space 4}-4.013249{col 68}{space 3} 3.021496
{txt}{space 9}260  {c |}{col 15}{res}{space 2} .1029675{col 27}{space 2} 1.472574{col 38}{space 1}    0.07{col 47}{space 3}0.944{col 55}{space 4}-2.783225{col 68}{space 3}  2.98916
{txt}{space 9}325  {c |}{col 15}{res}{space 2} 1.332718{col 27}{space 2} 2.048263{col 38}{space 1}    0.65{col 47}{space 3}0.515{col 55}{space 4}-2.681804{col 68}{space 3} 5.347241
{txt}{space 9}345  {c |}{col 15}{res}{space 2} -.668705{col 27}{space 2} 3.658101{col 38}{space 1}   -0.18{col 47}{space 3}0.855{col 55}{space 4}-7.838451{col 68}{space 3} 6.501041
{txt}{space 9}350  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}365  {c |}{col 15}{res}{space 2}-1.016992{col 27}{space 2} 2.350007{col 38}{space 1}   -0.43{col 47}{space 3}0.665{col 55}{space 4}-5.622921{col 68}{space 3} 3.588936
{txt}{space 9}371  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}373  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}380  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}475  {c |}{col 15}{res}{space 2} 1.538204{col 27}{space 2} 1.966045{col 38}{space 1}    0.78{col 47}{space 3}0.434{col 55}{space 4}-2.315172{col 68}{space 3} 5.391581
{txt}{space 9}501  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}510  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}516  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}551  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}552  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}620  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}625  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}630  {c |}{col 15}{res}{space 2}-1.888711{col 27}{space 2} 3.295681{col 38}{space 1}   -0.57{col 47}{space 3}0.567{col 55}{space 4}-8.348128{col 68}{space 3} 4.570705
{txt}{space 9}640  {c |}{col 15}{res}{space 2}-.9682053{col 27}{space 2} 3.716084{col 38}{space 1}   -0.26{col 47}{space 3}0.794{col 55}{space 4}-8.251597{col 68}{space 3} 6.315186
{txt}{space 9}645  {c |}{col 15}{res}{space 2}-1.338901{col 27}{space 2}  4.13311{col 38}{space 1}   -0.32{col 47}{space 3}0.746{col 55}{space 4}-9.439648{col 68}{space 3} 6.761846
{txt}{space 9}651  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}652  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}660  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}666  {c |}{col 15}{res}{space 2}-.2288263{col 27}{space 2} 2.070562{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-4.287054{col 68}{space 3} 3.829401
{txt}{space 9}670  {c |}{col 15}{res}{space 2}-3.454399{col 27}{space 2} 4.061352{col 38}{space 1}   -0.85{col 47}{space 3}0.395{col 55}{space 4} -11.4145{col 68}{space 3} 4.505704
{txt}{space 9}690  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}700  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}705  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}710  {c |}{col 15}{res}{space 2}-2.595886{col 27}{space 2}  3.52147{col 38}{space 1}   -0.74{col 47}{space 3}0.461{col 55}{space 4} -9.49784{col 68}{space 3} 4.306068
{txt}{space 9}713  {c |}{col 15}{res}{space 2} .0860915{col 27}{space 2} 2.263029{col 38}{space 1}    0.04{col 47}{space 3}0.970{col 55}{space 4}-4.349363{col 68}{space 3} 4.521546
{txt}{space 9}732  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}740  {c |}{col 15}{res}{space 2} 1.052906{col 27}{space 2} 1.754897{col 38}{space 1}    0.60{col 47}{space 3}0.549{col 55}{space 4}-2.386628{col 68}{space 3} 4.492441
{txt}{space 9}750  {c |}{col 15}{res}{space 2}-1.336423{col 27}{space 2} 1.786975{col 38}{space 1}   -0.75{col 47}{space 3}0.455{col 55}{space 4}-4.838829{col 68}{space 3} 2.165983
{txt}{space 9}800  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}820  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}830  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}850  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}900  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}920  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.332983{col 27}{space 2} 2.768211{col 38}{space 1}   -0.48{col 47}{space 3}0.630{col 55}{space 4}-6.758576{col 68}{space 3}  4.09261
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table20 , word label title(Table 20: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table20.rtf"'"':Table20.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table20.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode2, iterate(10) cluster(dyadid)

{txt}note: 40.ccode2 != 0 predicts failure perfectly
      40.ccode2 dropped and 4559 obs not used

note: 51.ccode2 != 0 predicts failure perfectly
      51.ccode2 dropped and 4553 obs not used

note: 52.ccode2 != 0 predicts failure perfectly
      52.ccode2 dropped and 4554 obs not used

note: 110.ccode2 != 0 predicts failure perfectly
      110.ccode2 dropped and 4548 obs not used

note: 310.ccode2 != 0 predicts failure perfectly
      310.ccode2 dropped and 4559 obs not used

note: 315.ccode2 != 0 predicts failure perfectly
      315.ccode2 dropped and 3316 obs not used

note: 317.ccode2 != 0 predicts failure perfectly
      317.ccode2 dropped and 1242 obs not used

note: 344.ccode2 != 0 predicts failure perfectly
      344.ccode2 dropped and 1396 obs not used

note: 349.ccode2 != 0 predicts failure perfectly
      349.ccode2 dropped and 1396 obs not used

note: 352.ccode2 != 0 predicts failure perfectly
      352.ccode2 dropped and 4554 obs not used

note: 355.ccode2 != 0 predicts failure perfectly
      355.ccode2 dropped and 4559 obs not used

note: 359.ccode2 != 0 predicts failure perfectly
      359.ccode2 dropped and 1518 obs not used

note: 372.ccode2 != 0 predicts failure perfectly
      372.ccode2 dropped and 1525 obs not used

note: 404.ccode2 != 0 predicts failure perfectly
      404.ccode2 dropped and 3890 obs not used

note: 411.ccode2 != 0 predicts failure perfectly
      411.ccode2 dropped and 4510 obs not used

note: 432.ccode2 != 0 predicts failure perfectly
      432.ccode2 dropped and 4556 obs not used

note: 433.ccode2 != 0 predicts failure perfectly
      433.ccode2 dropped and 4556 obs not used

note: 434.ccode2 != 0 predicts failure perfectly
      434.ccode2 dropped and 4556 obs not used

note: 435.ccode2 != 0 predicts failure perfectly
      435.ccode2 dropped and 4556 obs not used

note: 436.ccode2 != 0 predicts failure perfectly
      436.ccode2 dropped and 4555 obs not used

note: 438.ccode2 != 0 predicts failure perfectly
      438.ccode2 dropped and 4546 obs not used

note: 451.ccode2 != 0 predicts failure perfectly
      451.ccode2 dropped and 4555 obs not used

note: 452.ccode2 != 0 predicts failure perfectly
      452.ccode2 dropped and 4555 obs not used

note: 471.ccode2 != 0 predicts failure perfectly
      471.ccode2 dropped and 4555 obs not used

note: 482.ccode2 != 0 predicts failure perfectly
      482.ccode2 dropped and 4555 obs not used

note: 483.ccode2 != 0 predicts failure perfectly
      483.ccode2 dropped and 4556 obs not used

note: 484.ccode2 != 0 predicts failure perfectly
      484.ccode2 dropped and 4555 obs not used

note: 501.ccode2 != 0 predicts failure perfectly
      501.ccode2 dropped and 4555 obs not used

note: 510.ccode2 != 0 predicts failure perfectly
      510.ccode2 dropped and 4555 obs not used

note: 520.ccode2 != 0 predicts failure perfectly
      520.ccode2 dropped and 4547 obs not used

note: 522.ccode2 != 0 predicts failure perfectly
      522.ccode2 dropped and 3467 obs not used

note: 540.ccode2 != 0 predicts failure perfectly
      540.ccode2 dropped and 3668 obs not used

note: 541.ccode2 != 0 predicts failure perfectly
      541.ccode2 dropped and 3763 obs not used

note: 553.ccode2 != 0 predicts failure perfectly
      553.ccode2 dropped and 4555 obs not used

note: 565.ccode2 != 0 predicts failure perfectly
      565.ccode2 dropped and 1684 obs not used

note: 570.ccode2 != 0 predicts failure perfectly
      570.ccode2 dropped and 4549 obs not used

note: 571.ccode2 != 0 predicts failure perfectly
      571.ccode2 dropped and 4549 obs not used

note: 572.ccode2 != 0 predicts failure perfectly
      572.ccode2 dropped and 4554 obs not used

note: 580.ccode2 != 0 predicts failure perfectly
      580.ccode2 dropped and 4555 obs not used

note: 581.ccode2 != 0 predicts failure perfectly
      581.ccode2 dropped and 3744 obs not used

note: 590.ccode2 != 0 predicts failure perfectly
      590.ccode2 dropped and 4555 obs not used

note: 616.ccode2 != 0 predicts failure perfectly
      616.ccode2 dropped and 4556 obs not used

note: 678.ccode2 != 0 predicts failure perfectly
      678.ccode2 dropped and 2986 obs not used

note: 694.ccode2 != 0 predicts failure perfectly
      694.ccode2 dropped and 4290 obs not used

note: 696.ccode2 != 0 predicts failure perfectly
      696.ccode2 dropped and 4290 obs not used

note: 698.ccode2 != 0 predicts failure perfectly
      698.ccode2 dropped and 4286 obs not used

note: 701.ccode2 != 0 predicts failure perfectly
      701.ccode2 dropped and 1521 obs not used

note: 702.ccode2 != 0 predicts failure perfectly
      702.ccode2 dropped and 1520 obs not used

note: 705.ccode2 != 0 predicts failure perfectly
      705.ccode2 dropped and 1520 obs not used

note: 712.ccode2 != 0 predicts failure perfectly
      712.ccode2 dropped and 4533 obs not used

note: 760.ccode2 != 0 predicts failure perfectly
      760.ccode2 dropped and 4275 obs not used

note: 817.ccode2 != 0 predicts failure perfectly
      817.ccode2 dropped and 920 obs not used

note: 910.ccode2 != 0 predicts failure perfectly
      910.ccode2 dropped and 3758 obs not used

note: 940.ccode2 != 0 predicts failure perfectly
      940.ccode2 dropped and 3340 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7380.9097}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5105.1824}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4753.3312}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3943.4362}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3891.7117}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3888.6765}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3888.6715}  
Iteration 7:{space 3}log pseudolikelihood = {res:-3888.6715}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    449552
{txt}{col 51}Wald chi2({res}126{txt}){col 67}= {res}   4280.48
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3888.6715{txt}{col 51}Pseudo R2{col 67}= {res}    0.4731

{txt}{ralign 81:(Std. Err. adjusted for {res:17533} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.2343632{col 29}{space 2} .1304027{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-.4899479{col 70}{space 3} .0212215
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.0742144{col 29}{space 2}  .165462{col 40}{space 1}   -0.45{col 49}{space 3}0.654{col 57}{space 4} -.398514{col 70}{space 3} .2500852
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0291656{col 29}{space 2} .4390489{col 40}{space 1}   -0.07{col 49}{space 3}0.947{col 57}{space 4}-.8896857{col 70}{space 3} .8313544
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5760622{col 29}{space 2} .3007332{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4}-1.165489{col 70}{space 3} .0133641
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2902347{col 29}{space 2} .1635703{col 40}{space 1}    1.77{col 49}{space 3}0.076{col 57}{space 4}-.0303572{col 70}{space 3} .6108265
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3939987{col 29}{space 2}  .293346{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4}-.9689462{col 70}{space 3} .1809488
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.756525{col 29}{space 2} .4543629{col 40}{space 1}    3.87{col 49}{space 3}0.000{col 57}{space 4} .8659902{col 70}{space 3}  2.64706
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 26.65966{col 29}{space 2}  4.66844{col 40}{space 1}    5.71{col 49}{space 3}0.000{col 57}{space 4} 17.50969{col 70}{space 3} 35.80964
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 3.081458{col 29}{space 2} .2735863{col 40}{space 1}   11.26{col 49}{space 3}0.000{col 57}{space 4} 2.545238{col 70}{space 3} 3.617677
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  .027186{col 29}{space 2} .0191887{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.0104232{col 70}{space 3} .0647953
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0679587{col 29}{space 2}  .027633{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4}  .013799{col 70}{space 3} .1221184
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0632416{col 29}{space 2} .0219592{col 40}{space 1}   -2.88{col 49}{space 3}0.004{col 57}{space 4} -.106281{col 70}{space 3}-.0202023
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4528836{col 29}{space 2} .2665053{col 40}{space 1}    1.70{col 49}{space 3}0.089{col 57}{space 4}-.0694571{col 70}{space 3} .9752243
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} .6004447{col 29}{space 2} .0559188{col 40}{space 1}   10.74{col 49}{space 3}0.000{col 57}{space 4} .4908459{col 70}{space 3} .7100434
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.815844{col 29}{space 2} .5242348{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4}  .788363{col 70}{space 3} 2.843326
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3480002{col 29}{space 2} .0419779{col 40}{space 1}   -8.29{col 49}{space 3}0.000{col 57}{space 4}-.4302754{col 70}{space 3}-.2657249
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0239835{col 29}{space 2} .0034702{col 40}{space 1}    6.91{col 49}{space 3}0.000{col 57}{space 4}  .017182{col 70}{space 3}  .030785
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004823{col 29}{space 2} .0000779{col 40}{space 1}   -6.19{col 49}{space 3}0.000{col 57}{space 4}-.0006351{col 70}{space 3}-.0003295
{txt}{space 15} {c |}
{space 9}ccode2 {c |}
{space 12}20  {c |}{col 17}{res}{space 2}-3.225247{col 29}{space 2} .5402899{col 40}{space 1}   -5.97{col 49}{space 3}0.000{col 57}{space 4}-4.284196{col 70}{space 3}-2.166299
{txt}{space 12}40  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}41  {c |}{col 17}{res}{space 2}-6.544895{col 29}{space 2} .6018446{col 40}{space 1}  -10.87{col 49}{space 3}0.000{col 57}{space 4}-7.724489{col 70}{space 3}-5.365301
{txt}{space 12}42  {c |}{col 17}{res}{space 2}-7.885358{col 29}{space 2} .5966132{col 40}{space 1}  -13.22{col 49}{space 3}0.000{col 57}{space 4}-9.054699{col 70}{space 3}-6.716018
{txt}{space 12}51  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}52  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}70  {c |}{col 17}{res}{space 2}-3.127851{col 29}{space 2} .5352052{col 40}{space 1}   -5.84{col 49}{space 3}0.000{col 57}{space 4}-4.176834{col 70}{space 3}-2.078868
{txt}{space 12}90  {c |}{col 17}{res}{space 2}-5.728144{col 29}{space 2}  .594432{col 40}{space 1}   -9.64{col 49}{space 3}0.000{col 57}{space 4}-6.893209{col 70}{space 3}-4.563079
{txt}{space 12}91  {c |}{col 17}{res}{space 2}-7.243294{col 29}{space 2} .6327585{col 40}{space 1}  -11.45{col 49}{space 3}0.000{col 57}{space 4}-8.483478{col 70}{space 3} -6.00311
{txt}{space 12}92  {c |}{col 17}{res}{space 2}-5.862668{col 29}{space 2} .5979539{col 40}{space 1}   -9.80{col 49}{space 3}0.000{col 57}{space 4}-7.034636{col 70}{space 3}  -4.6907
{txt}{space 12}93  {c |}{col 17}{res}{space 2} -5.21519{col 29}{space 2} .6596175{col 40}{space 1}   -7.91{col 49}{space 3}0.000{col 57}{space 4}-6.508017{col 70}{space 3}-3.922364
{txt}{space 12}94  {c |}{col 17}{res}{space 2}-6.366101{col 29}{space 2} .6756496{col 40}{space 1}   -9.42{col 49}{space 3}0.000{col 57}{space 4} -7.69035{col 70}{space 3}-5.041852
{txt}{space 12}95  {c |}{col 17}{res}{space 2}-5.456908{col 29}{space 2} .6274767{col 40}{space 1}   -8.70{col 49}{space 3}0.000{col 57}{space 4} -6.68674{col 70}{space 3}-4.227076
{txt}{space 11}100  {c |}{col 17}{res}{space 2}-4.813268{col 29}{space 2} .5347734{col 40}{space 1}   -9.00{col 49}{space 3}0.000{col 57}{space 4}-5.861405{col 70}{space 3}-3.765131
{txt}{space 11}101  {c |}{col 17}{res}{space 2}-4.195423{col 29}{space 2} .5316856{col 40}{space 1}   -7.89{col 49}{space 3}0.000{col 57}{space 4}-5.237508{col 70}{space 3}-3.153338
{txt}{space 11}110  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}130  {c |}{col 17}{res}{space 2}-5.072832{col 29}{space 2} .6100232{col 40}{space 1}   -8.32{col 49}{space 3}0.000{col 57}{space 4}-6.268456{col 70}{space 3}-3.877209
{txt}{space 11}135  {c |}{col 17}{res}{space 2}-5.155918{col 29}{space 2} .5461705{col 40}{space 1}   -9.44{col 49}{space 3}0.000{col 57}{space 4}-6.226393{col 70}{space 3}-4.085444
{txt}{space 11}140  {c |}{col 17}{res}{space 2}-2.483024{col 29}{space 2} .4533666{col 40}{space 1}   -5.48{col 49}{space 3}0.000{col 57}{space 4}-3.371606{col 70}{space 3}-1.594442
{txt}{space 11}145  {c |}{col 17}{res}{space 2}-5.896805{col 29}{space 2} .5584691{col 40}{space 1}  -10.56{col 49}{space 3}0.000{col 57}{space 4}-6.991384{col 70}{space 3}-4.802225
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-6.196633{col 29}{space 2} .5906739{col 40}{space 1}  -10.49{col 49}{space 3}0.000{col 57}{space 4}-7.354332{col 70}{space 3}-5.038933
{txt}{space 11}155  {c |}{col 17}{res}{space 2}-4.520851{col 29}{space 2} .9038973{col 40}{space 1}   -5.00{col 49}{space 3}0.000{col 57}{space 4}-6.292458{col 70}{space 3}-2.749245
{txt}{space 11}160  {c |}{col 17}{res}{space 2}-3.386803{col 29}{space 2} .7046618{col 40}{space 1}   -4.81{col 49}{space 3}0.000{col 57}{space 4}-4.767915{col 70}{space 3}-2.005691
{txt}{space 11}165  {c |}{col 17}{res}{space 2} -6.46003{col 29}{space 2} .5680293{col 40}{space 1}  -11.37{col 49}{space 3}0.000{col 57}{space 4}-7.573347{col 70}{space 3}-5.346713
{txt}{space 11}200  {c |}{col 17}{res}{space 2}-2.740876{col 29}{space 2} .7328226{col 40}{space 1}   -3.74{col 49}{space 3}0.000{col 57}{space 4}-4.177182{col 70}{space 3} -1.30457
{txt}{space 11}205  {c |}{col 17}{res}{space 2}-6.717399{col 29}{space 2} 1.223526{col 40}{space 1}   -5.49{col 49}{space 3}0.000{col 57}{space 4}-9.115466{col 70}{space 3}-4.319332
{txt}{space 11}210  {c |}{col 17}{res}{space 2}-5.310005{col 29}{space 2}  .777658{col 40}{space 1}   -6.83{col 49}{space 3}0.000{col 57}{space 4}-6.834186{col 70}{space 3}-3.785823
{txt}{space 11}211  {c |}{col 17}{res}{space 2}-5.970103{col 29}{space 2} .6998889{col 40}{space 1}   -8.53{col 49}{space 3}0.000{col 57}{space 4} -7.34186{col 70}{space 3}-4.598346
{txt}{space 11}220  {c |}{col 17}{res}{space 2}-3.638493{col 29}{space 2} .5242367{col 40}{space 1}   -6.94{col 49}{space 3}0.000{col 57}{space 4}-4.665978{col 70}{space 3}-2.611008
{txt}{space 11}225  {c |}{col 17}{res}{space 2}-7.177428{col 29}{space 2} .6698345{col 40}{space 1}  -10.72{col 49}{space 3}0.000{col 57}{space 4} -8.49028{col 70}{space 3}-5.864577
{txt}{space 11}230  {c |}{col 17}{res}{space 2}-3.831098{col 29}{space 2}  .481751{col 40}{space 1}   -7.95{col 49}{space 3}0.000{col 57}{space 4}-4.775313{col 70}{space 3}-2.886884
{txt}{space 11}235  {c |}{col 17}{res}{space 2} -5.88203{col 29}{space 2} .7540428{col 40}{space 1}   -7.80{col 49}{space 3}0.000{col 57}{space 4}-7.359927{col 70}{space 3}-4.404133
{txt}{space 11}260  {c |}{col 17}{res}{space 2}-4.347553{col 29}{space 2} .6599757{col 40}{space 1}   -6.59{col 49}{space 3}0.000{col 57}{space 4}-5.641081{col 70}{space 3}-3.054024
{txt}{space 11}265  {c |}{col 17}{res}{space 2}-4.414832{col 29}{space 2}  1.36688{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-7.093867{col 70}{space 3}-1.735797
{txt}{space 11}290  {c |}{col 17}{res}{space 2}-4.151784{col 29}{space 2} .5009839{col 40}{space 1}   -8.29{col 49}{space 3}0.000{col 57}{space 4}-5.133695{col 70}{space 3}-3.169874
{txt}{space 11}305  {c |}{col 17}{res}{space 2}-5.726367{col 29}{space 2} .6844023{col 40}{space 1}   -8.37{col 49}{space 3}0.000{col 57}{space 4}-7.067771{col 70}{space 3}-4.384963
{txt}{space 11}310  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}315  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}317  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}352  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}365  {c |}{col 17}{res}{space 2}-1.204229{col 29}{space 2} .4950709{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4} -2.17455{col 70}{space 3}-.2339074
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{txt}{space 11}369  {c |}{col 17}{res}{space 2}  -3.5003{col 29}{space 2} .6616026{col 40}{space 1}   -5.29{col 49}{space 3}0.000{col 57}{space 4}-4.797017{col 70}{space 3}-2.203583
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-7.296851{col 29}{space 2} 1.553694{col 40}{space 1}   -4.70{col 49}{space 3}0.000{col 57}{space 4}-10.34204{col 70}{space 3}-4.251666
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table20 , word label title(Table 20: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table20.rtf"'"':Table20.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table20.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode2, vce(cluster dyadid)

{txt}note: 41.ccode2 != 0 predicts failure perfectly
      41.ccode2 dropped and 5 obs not used

note: 42.ccode2 != 0 predicts failure perfectly
      42.ccode2 dropped and 1 obs not used

note: 92.ccode2 != 0 predicts failure perfectly
      92.ccode2 dropped and 6 obs not used

note: 94.ccode2 != 0 predicts failure perfectly
      94.ccode2 dropped and 6 obs not used

note: 101.ccode2 != 0 predicts failure perfectly
      101.ccode2 dropped and 11 obs not used

note: 135.ccode2 != 0 predicts success perfectly
      135.ccode2 dropped and 8 obs not used

note: 150.ccode2 != 0 predicts success perfectly
      150.ccode2 dropped and 7 obs not used

note: 165.ccode2 != 0 predicts failure perfectly
      165.ccode2 dropped and 5 obs not used

note: 205.ccode2 != 0 predicts failure perfectly
      205.ccode2 dropped and 3 obs not used

note: 211.ccode2 != 0 predicts failure perfectly
      211.ccode2 dropped and 4 obs not used

note: 265.ccode2 != 0 predicts failure perfectly
      265.ccode2 dropped and 1 obs not used

note: 290.ccode2 != 0 predicts failure perfectly
      290.ccode2 dropped and 7 obs not used

note: 339.ccode2 != 0 predicts failure perfectly
      339.ccode2 dropped and 9 obs not used

note: 343.ccode2 != 0 predicts failure perfectly
      343.ccode2 dropped and 2 obs not used

note: 346.ccode2 != 0 predicts failure perfectly
      346.ccode2 dropped and 1 obs not used

note: 350.ccode2 != 0 predicts failure perfectly
      350.ccode2 dropped and 2 obs not used

note: 367.ccode2 != 0 predicts success perfectly
      367.ccode2 dropped and 1 obs not used

note: 368.ccode2 != 0 predicts success perfectly
      368.ccode2 dropped and 1 obs not used

note: 370.ccode2 != 0 predicts failure perfectly
      370.ccode2 dropped and 2 obs not used

note: 371.ccode2 != 0 predicts failure perfectly
      371.ccode2 dropped and 4 obs not used

note: 373.ccode2 != 0 predicts failure perfectly
      373.ccode2 dropped and 4 obs not used

note: 375.ccode2 != 0 predicts failure perfectly
      375.ccode2 dropped and 1 obs not used

note: 380.ccode2 != 0 predicts failure perfectly
      380.ccode2 dropped and 3 obs not used

note: 420.ccode2 != 0 predicts success perfectly
      420.ccode2 dropped and 1 obs not used

note: 437.ccode2 != 0 predicts success perfectly
      437.ccode2 dropped and 1 obs not used

note: 439.ccode2 != 0 predicts success perfectly
      439.ccode2 dropped and 2 obs not used

note: 450.ccode2 != 0 predicts failure perfectly
      450.ccode2 dropped and 1 obs not used

note: 461.ccode2 != 0 predicts success perfectly
      461.ccode2 dropped and 1 obs not used

note: 475.ccode2 != 0 predicts failure perfectly
      475.ccode2 dropped and 7 obs not used

note: 481.ccode2 != 0 predicts success perfectly
      481.ccode2 dropped and 1 obs not used

note: 500.ccode2 != 0 predicts failure perfectly
      500.ccode2 dropped and 8 obs not used

note: 517.ccode2 != 0 predicts success perfectly
      517.ccode2 dropped and 1 obs not used

note: 530.ccode2 != 0 predicts failure perfectly
      530.ccode2 dropped and 4 obs not used

note: 531.ccode2 != 0 predicts failure perfectly
      531.ccode2 dropped and 2 obs not used

note: 551.ccode2 != 0 predicts failure perfectly
      551.ccode2 dropped and 2 obs not used

note: 552.ccode2 != 0 predicts failure perfectly
      552.ccode2 dropped and 20 obs not used

note: 600.ccode2 != 0 predicts success perfectly
      600.ccode2 dropped and 2 obs not used

note: 615.ccode2 != 0 predicts success perfectly
      615.ccode2 dropped and 1 obs not used

note: 620.ccode2 != 0 predicts failure perfectly
      620.ccode2 dropped and 29 obs not used

note: 625.ccode2 != 0 predicts failure perfectly
      625.ccode2 dropped and 5 obs not used

note: 663.ccode2 != 0 predicts success perfectly
      663.ccode2 dropped and 5 obs not used

note: 680.ccode2 != 0 predicts failure perfectly
      680.ccode2 dropped and 2 obs not used

note: 690.ccode2 != 0 predicts success perfectly
      690.ccode2 dropped and 1 obs not used

note: 692.ccode2 != 0 predicts success perfectly
      692.ccode2 dropped and 1 obs not used

note: 700.ccode2 != 0 predicts failure perfectly
      700.ccode2 dropped and 4 obs not used

note: 703.ccode2 != 0 predicts failure perfectly
      703.ccode2 dropped and 1 obs not used

note: 704.ccode2 != 0 predicts failure perfectly
      704.ccode2 dropped and 1 obs not used

note: 731.ccode2 != 0 predicts failure perfectly
      731.ccode2 dropped and 5 obs not used

note: 771.ccode2 != 0 predicts success perfectly
      771.ccode2 dropped and 4 obs not used

note: 775.ccode2 != 0 predicts failure perfectly
      775.ccode2 dropped and 3 obs not used

note: 780.ccode2 != 0 predicts success perfectly
      780.ccode2 dropped and 2 obs not used

note: 790.ccode2 != 0 predicts failure perfectly
      790.ccode2 dropped and 2 obs not used

note: 811.ccode2 != 0 predicts failure perfectly
      811.ccode2 dropped and 9 obs not used

note: 812.ccode2 != 0 predicts failure perfectly
      812.ccode2 dropped and 21 obs not used

note: 816.ccode2 != 0 predicts failure perfectly
      816.ccode2 dropped and 33 obs not used

note: 840.ccode2 != 0 predicts success perfectly
      840.ccode2 dropped and 2 obs not used

note: 950.ccode2 != 0 predicts failure perfectly
      950.ccode2 dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-504.13978}  
Iteration 1:{space 3}log pseudolikelihood = {res: -402.6138}  
Iteration 2:{space 3}log pseudolikelihood = {res:-399.01139}  
Iteration 3:{space 3}log pseudolikelihood = {res:-398.96061}  
Iteration 4:{space 3}log pseudolikelihood = {res:-398.96043}  
Iteration 5:{space 3}log pseudolikelihood = {res:-398.96043}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       764
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(56)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-398.96043{txt}{col 51}Pseudo R2{col 67}= {res}    0.2086

{txt}{ralign 79:(Std. Err. adjusted for {res:211} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table20 , word label title(Table 20: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table20.rtf"'"':Table20.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table20.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 21****
. *Model 1*
. logit threat SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode1, iterate(10) cluster(dyadid)

{txt}note: 40.ccode1 != 0 predicts failure perfectly
      40.ccode1 dropped and 3164 obs not used

note: 41.ccode1 != 0 predicts failure perfectly
      41.ccode1 dropped and 528 obs not used

note: 51.ccode1 != 0 predicts failure perfectly
      51.ccode1 dropped and 3163 obs not used

note: 90.ccode1 != 0 predicts failure perfectly
      90.ccode1 dropped and 1385 obs not used

note: 91.ccode1 != 0 predicts failure perfectly
      91.ccode1 dropped and 2369 obs not used

note: 92.ccode1 != 0 predicts failure perfectly
      92.ccode1 dropped and 2356 obs not used

note: 93.ccode1 != 0 predicts failure perfectly
      93.ccode1 dropped and 2791 obs not used

note: 94.ccode1 != 0 predicts failure perfectly
      94.ccode1 dropped and 3158 obs not used

note: 95.ccode1 != 0 predicts failure perfectly
      95.ccode1 dropped and 771 obs not used

note: 101.ccode1 != 0 predicts failure perfectly
      101.ccode1 dropped and 1024 obs not used

note: 110.ccode1 != 0 predicts failure perfectly
      110.ccode1 dropped and 3158 obs not used

note: 130.ccode1 != 0 predicts failure perfectly
      130.ccode1 dropped and 2193 obs not used

note: 135.ccode1 != 0 predicts failure perfectly
      135.ccode1 dropped and 2599 obs not used

note: 140.ccode1 != 0 predicts failure perfectly
      140.ccode1 dropped and 1250 obs not used

note: 145.ccode1 != 0 predicts failure perfectly
      145.ccode1 dropped and 1865 obs not used

note: 150.ccode1 != 0 predicts failure perfectly
      150.ccode1 dropped and 3163 obs not used

note: 155.ccode1 != 0 predicts failure perfectly
      155.ccode1 dropped and 1450 obs not used

note: 165.ccode1 != 0 predicts failure perfectly
      165.ccode1 dropped and 2026 obs not used

note: 205.ccode1 != 0 predicts failure perfectly
      205.ccode1 dropped and 3164 obs not used

note: 210.ccode1 != 0 predicts failure perfectly
      210.ccode1 dropped and 3164 obs not used

note: 211.ccode1 != 0 predicts failure perfectly
      211.ccode1 dropped and 3164 obs not used

note: 225.ccode1 != 0 predicts failure perfectly
      225.ccode1 dropped and 1702 obs not used

note: 235.ccode1 != 0 predicts failure perfectly
      235.ccode1 dropped and 2827 obs not used

note: 290.ccode1 != 0 predicts failure perfectly
      290.ccode1 dropped and 3032 obs not used

note: 305.ccode1 != 0 predicts failure perfectly
      305.ccode1 dropped and 3164 obs not used

note: 310.ccode1 != 0 predicts failure perfectly
      310.ccode1 dropped and 3164 obs not used

note: 317.ccode1 != 0 predicts failure perfectly
      317.ccode1 dropped and 809 obs not used

note: 339.ccode1 != 0 predicts failure perfectly
      339.ccode1 dropped and 3152 obs not used

note: 343.ccode1 != 0 predicts failure perfectly
      343.ccode1 dropped and 809 obs not used

note: 344.ccode1 != 0 predicts failure perfectly
      344.ccode1 dropped and 944 obs not used

note: 349.ccode1 != 0 predicts failure perfectly
      349.ccode1 dropped and 1206 obs not used

note: 352.ccode1 != 0 predicts failure perfectly
      352.ccode1 dropped and 1754 obs not used

note: 355.ccode1 != 0 predicts failure perfectly
      355.ccode1 dropped and 2770 obs not used

note: 359.ccode1 != 0 predicts failure perfectly
      359.ccode1 dropped and 1206 obs not used

note: 360.ccode1 != 0 predicts failure perfectly
      360.ccode1 dropped and 3164 obs not used

note: 366.ccode1 != 0 predicts failure perfectly
      366.ccode1 dropped and 1078 obs not used

note: 367.ccode1 != 0 predicts failure perfectly
      367.ccode1 dropped and 541 obs not used

note: 368.ccode1 != 0 predicts failure perfectly
      368.ccode1 dropped and 673 obs not used

note: 369.ccode1 != 0 predicts failure perfectly
      369.ccode1 dropped and 394 obs not used

note: 370.ccode1 != 0 predicts failure perfectly
      370.ccode1 dropped and 395 obs not used

note: 372.ccode1 != 0 predicts failure perfectly
      372.ccode1 dropped and 678 obs not used

note: 375.ccode1 != 0 predicts failure perfectly
      375.ccode1 dropped and 2818 obs not used

note: 380.ccode1 != 0 predicts failure perfectly
      380.ccode1 dropped and 2703 obs not used

note: 385.ccode1 != 0 predicts failure perfectly
      385.ccode1 dropped and 3164 obs not used

note: 390.ccode1 != 0 predicts failure perfectly
      390.ccode1 dropped and 3164 obs not used

note: 404.ccode1 != 0 predicts failure perfectly
      404.ccode1 dropped and 2567 obs not used

note: 420.ccode1 != 0 predicts failure perfectly
      420.ccode1 dropped and 2353 obs not used

note: 432.ccode1 != 0 predicts failure perfectly
      432.ccode1 dropped and 1078 obs not used

note: 433.ccode1 != 0 predicts failure perfectly
      433.ccode1 dropped and 3166 obs not used

note: 434.ccode1 != 0 predicts failure perfectly
      434.ccode1 dropped and 1848 obs not used

note: 436.ccode1 != 0 predicts failure perfectly
      436.ccode1 dropped and 403 obs not used

note: 438.ccode1 != 0 predicts failure perfectly
      438.ccode1 dropped and 1134 obs not used

note: 450.ccode1 != 0 predicts failure perfectly
      450.ccode1 dropped and 674 obs not used

note: 451.ccode1 != 0 predicts failure perfectly
      451.ccode1 dropped and 2087 obs not used

note: 475.ccode1 != 0 predicts failure perfectly
      475.ccode1 dropped and 134 obs not used

note: 484.ccode1 != 0 predicts failure perfectly
      484.ccode1 dropped and 2937 obs not used

note: 500.ccode1 != 0 predicts failure perfectly
      500.ccode1 dropped and 572 obs not used

note: 540.ccode1 != 0 predicts failure perfectly
      540.ccode1 dropped and 2485 obs not used

note: 541.ccode1 != 0 predicts failure perfectly
      541.ccode1 dropped and 2822 obs not used

note: 553.ccode1 != 0 predicts failure perfectly
      553.ccode1 dropped and 812 obs not used

note: 560.ccode1 != 0 predicts failure perfectly
      560.ccode1 dropped and 3164 obs not used

note: 565.ccode1 != 0 predicts failure perfectly
      565.ccode1 dropped and 1335 obs not used

note: 570.ccode1 != 0 predicts failure perfectly
      570.ccode1 dropped and 2199 obs not used

note: 571.ccode1 != 0 predicts failure perfectly
      571.ccode1 dropped and 3159 obs not used

note: 580.ccode1 != 0 predicts failure perfectly
      580.ccode1 dropped and 2152 obs not used

note: 590.ccode1 != 0 predicts failure perfectly
      590.ccode1 dropped and 2487 obs not used

note: 600.ccode1 != 0 predicts failure perfectly
      600.ccode1 dropped and 2830 obs not used

note: 615.ccode1 != 0 predicts failure perfectly
      615.ccode1 dropped and 3166 obs not used

note: 616.ccode1 != 0 predicts failure perfectly
      616.ccode1 dropped and 3166 obs not used

note: 700.ccode1 != 0 predicts failure perfectly
      700.ccode1 dropped and 1937 obs not used

note: 701.ccode1 != 0 predicts failure perfectly
      701.ccode1 dropped and 1206 obs not used

note: 702.ccode1 != 0 predicts failure perfectly
      702.ccode1 dropped and 1205 obs not used

note: 704.ccode1 != 0 predicts failure perfectly
      704.ccode1 dropped and 1206 obs not used

note: 705.ccode1 != 0 predicts failure perfectly
      705.ccode1 dropped and 394 obs not used

note: 712.ccode1 != 0 predicts failure perfectly
      712.ccode1 dropped and 2616 obs not used

note: 770.ccode1 != 0 predicts failure perfectly
      770.ccode1 dropped and 1495 obs not used

note: 771.ccode1 != 0 predicts failure perfectly
      771.ccode1 dropped and 595 obs not used

note: 775.ccode1 != 0 predicts failure perfectly
      775.ccode1 dropped and 1599 obs not used

note: 780.ccode1 != 0 predicts failure perfectly
      780.ccode1 dropped and 3164 obs not used

note: 790.ccode1 != 0 predicts failure perfectly
      790.ccode1 dropped and 1206 obs not used

note: 811.ccode1 != 0 predicts failure perfectly
      811.ccode1 dropped and 1224 obs not used

note: 812.ccode1 != 0 predicts failure perfectly
      812.ccode1 dropped and 3046 obs not used

note: 816.ccode1 != 0 predicts failure perfectly
      816.ccode1 dropped and 3148 obs not used

note: 840.ccode1 != 0 predicts failure perfectly
      840.ccode1 dropped and 946 obs not used

note: 940.ccode1 != 0 predicts failure perfectly
      940.ccode1 dropped and 1479 obs not used

note: 950.ccode1 != 0 predicts failure perfectly
      950.ccode1 dropped and 1477 obs not used

note: 920.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.8634}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2474.526}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1958.6681}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1906.8072}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1902.0347}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1901.9168}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1901.9166}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}     61611
{txt}{col 51}Wald chi2({res}39{txt}){col 67}= {res}   1044.23
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1901.9166{txt}{col 51}Pseudo R2{col 67}= {res}    0.4770

{txt}{ralign 81:(Std. Err. adjusted for {res:3146} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.1098962{col 29}{space 2} .1518326{col 40}{space 1}   -0.72{col 49}{space 3}0.469{col 57}{space 4}-.4074826{col 70}{space 3} .1876902
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .2776736{col 29}{space 2} .1624091{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.0406424{col 70}{space 3} .5959895
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1490023{col 29}{space 2} .0646173{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4}-.2756498{col 70}{space 3}-.0223548
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} -.183008{col 29}{space 2} .5158701{col 40}{space 1}   -0.35{col 49}{space 3}0.723{col 57}{space 4}-1.194095{col 70}{space 3} .8280788
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .6723104{col 29}{space 2} .5602067{col 40}{space 1}    1.20{col 49}{space 3}0.230{col 57}{space 4}-.4256746{col 70}{space 3} 1.770295
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1787345{col 29}{space 2} .2066947{col 40}{space 1}   -0.86{col 49}{space 3}0.387{col 57}{space 4}-.5838486{col 70}{space 3} .2263796
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2} -.537397{col 29}{space 2} .3213748{col 40}{space 1}   -1.67{col 49}{space 3}0.094{col 57}{space 4} -1.16728{col 70}{space 3}  .092486
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .0867353{col 29}{space 2} .5001657{col 40}{space 1}    0.17{col 49}{space 3}0.862{col 57}{space 4}-.8935715{col 70}{space 3} 1.067042
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 35.71161{col 29}{space 2}  12.7693{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} 10.68424{col 70}{space 3} 60.73898
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 8.662445{col 29}{space 2} 1.223458{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4} 6.264511{col 70}{space 3} 11.06038
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0000408{col 29}{space 2} .0613294{col 40}{space 1}   -0.00{col 49}{space 3}0.999{col 57}{space 4}-.1202442{col 70}{space 3} .1201625
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0879799{col 29}{space 2} .0246273{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} .0397112{col 70}{space 3} .1362486
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1107796{col 29}{space 2} .0245542{col 40}{space 1}   -4.51{col 49}{space 3}0.000{col 57}{space 4} -.158905{col 70}{space 3}-.0626542
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}  1.06887{col 29}{space 2} .2676593{col 40}{space 1}    3.99{col 49}{space 3}0.000{col 57}{space 4} .5442675{col 70}{space 3} 1.593473
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.5009853{col 29}{space 2} .0887737{col 40}{space 1}   -5.64{col 49}{space 3}0.000{col 57}{space 4}-.6749786{col 70}{space 3} -.326992
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.328567{col 29}{space 2} .5962528{col 40}{space 1}    3.91{col 49}{space 3}0.000{col 57}{space 4} 1.159933{col 70}{space 3} 3.497201
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5720811{col 29}{space 2} .0602308{col 40}{space 1}   -9.50{col 49}{space 3}0.000{col 57}{space 4}-.6901313{col 70}{space 3} -.454031
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0356811{col 29}{space 2} .0046362{col 40}{space 1}    7.70{col 49}{space 3}0.000{col 57}{space 4} .0265943{col 70}{space 3} .0447678
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006395{col 29}{space 2} .0001015{col 40}{space 1}   -6.30{col 49}{space 3}0.000{col 57}{space 4}-.0008385{col 70}{space 3}-.0004406
{txt}{space 15} {c |}
{space 9}ccode1 {c |}
{space 12}20  {c |}{col 17}{res}{space 2} 4.872632{col 29}{space 2} 1.099574{col 40}{space 1}    4.43{col 49}{space 3}0.000{col 57}{space 4} 2.717507{col 70}{space 3} 7.027757
{txt}{space 12}40  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}41  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}70  {c |}{col 17}{res}{space 2} 3.870202{col 29}{space 2} 1.337352{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4}  1.24904{col 70}{space 3} 6.491364
{txt}{space 12}90  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}91  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}92  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}93  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}94  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}95  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}100  {c |}{col 17}{res}{space 2} 2.014091{col 29}{space 2} 1.132502{col 40}{space 1}    1.78{col 49}{space 3}0.075{col 57}{space 4}-.2055721{col 70}{space 3} 4.233753
{txt}{space 11}101  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}110  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}130  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}135  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}140  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}145  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}155  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}160  {c |}{col 17}{res}{space 2} 2.773265{col 29}{space 2} 1.497394{col 40}{space 1}    1.85{col 49}{space 3}0.064{col 57}{space 4} -.161574{col 70}{space 3} 5.708105
{txt}{space 11}165  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}200  {c |}{col 17}{res}{space 2} 4.513161{col 29}{space 2} 1.223894{col 40}{space 1}    3.69{col 49}{space 3}0.000{col 57}{space 4} 2.114372{col 70}{space 3} 6.911949
{txt}{space 11}205  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}210  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}211  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}220  {c |}{col 17}{res}{space 2} 3.405631{col 29}{space 2} 1.231485{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4}  .991966{col 70}{space 3} 5.819297
{txt}{space 11}225  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}230  {c |}{col 17}{res}{space 2} 2.443766{col 29}{space 2} 1.247376{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4}-.0010466{col 70}{space 3} 4.888578
{txt}{space 11}235  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}290  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}305  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}310  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}317  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}325  {c |}{col 17}{res}{space 2} 2.654808{col 29}{space 2} 1.312794{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} .0817797{col 70}{space 3} 5.227837
{txt}{space 11}339  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}343  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}344  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}345  {c |}{col 17}{res}{space 2} -.374104{col 29}{space 2} 1.888999{col 40}{space 1}   -0.20{col 49}{space 3}0.843{col 57}{space 4}-4.076473{col 70}{space 3} 3.328265
{txt}{space 11}349  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}350  {c |}{col 17}{res}{space 2} 1.900398{col 29}{space 2}  1.29821{col 40}{space 1}    1.46{col 49}{space 3}0.143{col 57}{space 4}-.6440467{col 70}{space 3} 4.444842
{txt}{space 11}352  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}355  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}359  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}360  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}366  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}367  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}368  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}369  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}370  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}372  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}375  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}380  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}385  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}390  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}404  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}420  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}432  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}433  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}434  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}436  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}438  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}450  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}451  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}475  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}484  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}500  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}510  {c |}{col 17}{res}{space 2}    1.366{col 29}{space 2} 1.972189{col 40}{space 1}    0.69{col 49}{space 3}0.489{col 57}{space 4} -2.49942{col 70}{space 3}  5.23142
{txt}{space 11}540  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}541  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}551  {c |}{col 17}{res}{space 2} 1.003315{col 29}{space 2} 1.231621{col 40}{space 1}    0.81{col 49}{space 3}0.415{col 57}{space 4}-1.410619{col 70}{space 3} 3.417248
{txt}{space 11}553  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}560  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}565  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}570  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}571  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}580  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}590  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}600  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}615  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}616  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}625  {c |}{col 17}{res}{space 2} .9258293{col 29}{space 2}  1.62953{col 40}{space 1}    0.57{col 49}{space 3}0.570{col 57}{space 4} -2.26799{col 70}{space 3} 4.119649
{txt}{space 11}640  {c |}{col 17}{res}{space 2} 1.060573{col 29}{space 2} 1.432542{col 40}{space 1}    0.74{col 49}{space 3}0.459{col 57}{space 4}-1.747158{col 70}{space 3} 3.868304
{txt}{space 11}660  {c |}{col 17}{res}{space 2}-.1729238{col 29}{space 2}  1.51178{col 40}{space 1}   -0.11{col 49}{space 3}0.909{col 57}{space 4}-3.135959{col 70}{space 3} 2.790111
{txt}{space 11}666  {c |}{col 17}{res}{space 2} 1.970377{col 29}{space 2} 1.264179{col 40}{space 1}    1.56{col 49}{space 3}0.119{col 57}{space 4}-.5073686{col 70}{space 3} 4.448123
{txt}{space 11}700  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}701  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}702  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}704  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}705  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}712  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}750  {c |}{col 17}{res}{space 2} 4.463008{col 29}{space 2} 1.191292{col 40}{space 1}    3.75{col 49}{space 3}0.000{col 57}{space 4} 2.128119{col 70}{space 3} 6.797897
{txt}{space 11}770  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}771  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}775  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}780  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}790  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}800  {c |}{col 17}{res}{space 2}  1.40729{col 29}{space 2} 1.423144{col 40}{space 1}    0.99{col 49}{space 3}0.323{col 57}{space 4}-1.382022{col 70}{space 3} 4.196601
{txt}{space 11}811  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}812  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}816  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}840  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}900  {c |}{col 17}{res}{space 2} 2.564089{col 29}{space 2} 1.151986{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4} .3062375{col 70}{space 3} 4.821941
{txt}{space 11}920  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 11}940  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}950  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-7.356078{col 29}{space 2} 2.004218{col 40}{space 1}   -3.67{col 49}{space 3}0.000{col 57}{space 4}-11.28427{col 70}{space 3}-3.427883
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table21 , word label title(Table 21: Political Ideology For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table21.rtf"'"':Table21.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table21.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode1, vce(cluster dyadid)

{txt}note: 100.ccode1 != 0 predicts failure perfectly
      100.ccode1 dropped and 4 obs not used

note: 160.ccode1 != 0 predicts failure perfectly
      160.ccode1 dropped and 6 obs not used

note: 345.ccode1 != 0 predicts success perfectly
      345.ccode1 dropped and 1 obs not used

note: 350.ccode1 != 0 predicts failure perfectly
      350.ccode1 dropped and 4 obs not used

note: 510.ccode1 != 0 predicts failure perfectly
      510.ccode1 dropped and 4 obs not used

note: 551.ccode1 != 0 predicts failure perfectly
      551.ccode1 dropped and 4 obs not used

note: 625.ccode1 != 0 predicts failure perfectly
      625.ccode1 dropped and 1 obs not used

note: 640.ccode1 != 0 predicts success perfectly
      640.ccode1 dropped and 1 obs not used

note: 660.ccode1 != 0 predicts success perfectly
      660.ccode1 dropped and 1 obs not used

note: 740.ccode1 != 0 predicts success perfectly
      740.ccode1 dropped and 2 obs not used

note: 800.ccode1 != 0 predicts success perfectly
      800.ccode1 dropped and 1 obs not used

note: 920.ccode1 != 0 predicts failure perfectly
      920.ccode1 dropped and 1 obs not used

note: 900.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-380.34869}  
Iteration 1:{space 3}log pseudolikelihood = {res:-320.62147}  
Iteration 2:{space 3}log pseudolikelihood = {res:-317.16494}  
Iteration 3:{space 3}log pseudolikelihood = {res:-317.08501}  
Iteration 4:{space 3}log pseudolikelihood = {res:-317.08495}  
Iteration 5:{space 3}log pseudolikelihood = {res:-317.08495}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       627
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}    117.99
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-317.08495{txt}{col 51}Pseudo R2{col 67}= {res}    0.1663

{txt}{ralign 79:(Std. Err. adjusted for {res:142} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .5847033{col 27}{space 2} .2762926{col 38}{space 1}    2.12{col 47}{space 3}0.034{col 55}{space 4} .0431797{col 68}{space 3} 1.126227
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8288669{col 27}{space 2} .3386242{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .1651757{col 68}{space 3} 1.492558
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.1679322{col 27}{space 2} .1320494{col 38}{space 1}   -1.27{col 47}{space 3}0.203{col 55}{space 4}-.4267443{col 68}{space 3}   .09088
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .9619047{col 27}{space 2} 1.142801{col 38}{space 1}    0.84{col 47}{space 3}0.400{col 55}{space 4}-1.277944{col 68}{space 3} 3.201753
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.2070332{col 27}{space 2} 1.148899{col 38}{space 1}   -0.18{col 47}{space 3}0.857{col 55}{space 4}-2.458833{col 68}{space 3} 2.044767
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .7034054{col 27}{space 2} .3444463{col 38}{space 1}    2.04{col 47}{space 3}0.041{col 55}{space 4}  .028303{col 68}{space 3} 1.378508
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-.9963482{col 27}{space 2} .6318636{col 38}{space 1}   -1.58{col 47}{space 3}0.115{col 55}{space 4}-2.234778{col 68}{space 3} .2420817
{txt}igomember_log {c |}{col 15}{res}{space 2} 2.164774{col 27}{space 2}  .636865{col 38}{space 1}    3.40{col 47}{space 3}0.001{col 55}{space 4} .9165412{col 68}{space 3} 3.413006
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 3.460948{col 27}{space 2} 23.47966{col 38}{space 1}    0.15{col 47}{space 3}0.883{col 55}{space 4}-42.55834{col 68}{space 3} 49.48024
{txt}{space 5}ussender {c |}{col 15}{res}{space 2}-.6923254{col 27}{space 2} 1.448935{col 38}{space 1}   -0.48{col 47}{space 3}0.633{col 55}{space 4}-3.532186{col 68}{space 3} 2.147535
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.4989561{col 27}{space 2} .1641741{col 38}{space 1}   -3.04{col 47}{space 3}0.002{col 55}{space 4}-.8207315{col 68}{space 3}-.1771807
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1529957{col 27}{space 2} .0608999{col 38}{space 1}   -2.51{col 47}{space 3}0.012{col 55}{space 4}-.2723574{col 68}{space 3} -.033634
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .207611{col 27}{space 2} .0467488{col 38}{space 1}    4.44{col 47}{space 3}0.000{col 55}{space 4}  .115985{col 68}{space 3} .2992369
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.2097855{col 27}{space 2} .3791252{col 38}{space 1}   -0.55{col 47}{space 3}0.580{col 55}{space 4}-.9528573{col 68}{space 3} .5332863
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.0875009{col 27}{space 2} .1266095{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4} -.335651{col 68}{space 3} .1606491
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.4971428{col 27}{space 2} .7438616{col 38}{space 1}   -0.67{col 47}{space 3}0.504{col 55}{space 4}-1.955085{col 68}{space 3} .9607991
{txt}{space 13} {c |}
{space 7}ccode1 {c |}
{space 10}20  {c |}{col 15}{res}{space 2}-.6701036{col 27}{space 2} 1.385678{col 38}{space 1}   -0.48{col 47}{space 3}0.629{col 55}{space 4}-3.385982{col 68}{space 3} 2.045775
{txt}{space 10}70  {c |}{col 15}{res}{space 2} -4.31473{col 27}{space 2} 2.263102{col 38}{space 1}   -1.91{col 47}{space 3}0.057{col 55}{space 4}-8.750329{col 68}{space 3} .1208679
{txt}{space 9}100  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}160  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}200  {c |}{col 15}{res}{space 2} .0746492{col 27}{space 2} 1.527736{col 38}{space 1}    0.05{col 47}{space 3}0.961{col 55}{space 4}-2.919658{col 68}{space 3} 3.068957
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-.7901158{col 27}{space 2} 2.169164{col 38}{space 1}   -0.36{col 47}{space 3}0.716{col 55}{space 4}-5.041598{col 68}{space 3} 3.461367
{txt}{space 9}230  {c |}{col 15}{res}{space 2}-1.356243{col 27}{space 2} 1.710619{col 38}{space 1}   -0.79{col 47}{space 3}0.428{col 55}{space 4}-4.708994{col 68}{space 3} 1.996508
{txt}{space 9}325  {c |}{col 15}{res}{space 2} 1.056026{col 27}{space 2} 1.983153{col 38}{space 1}    0.53{col 47}{space 3}0.594{col 55}{space 4}-2.830882{col 68}{space 3} 4.942933
{txt}{space 9}345  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}350  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}510  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}551  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}625  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}640  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}660  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}666  {c |}{col 15}{res}{space 2}-1.529475{col 27}{space 2} 1.921585{col 38}{space 1}   -0.80{col 47}{space 3}0.426{col 55}{space 4}-5.295712{col 68}{space 3} 2.236763
{txt}{space 9}740  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}750  {c |}{col 15}{res}{space 2}-2.331042{col 27}{space 2}    1.845{col 38}{space 1}   -1.26{col 47}{space 3}0.206{col 55}{space 4}-5.947177{col 68}{space 3} 1.285092
{txt}{space 9}800  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}900  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}920  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.820431{col 27}{space 2}  3.32008{col 38}{space 1}   -0.85{col 47}{space 3}0.396{col 55}{space 4}-9.327668{col 68}{space 3} 3.686805
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table21 , word label title(Table 21: Political Ideology For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table21.rtf"'"':Table21.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table21.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode2, iterate(10) cluster(dyadid)

{txt}note: 40.ccode2 != 0 predicts failure perfectly
      40.ccode2 dropped and 1863 obs not used

note: 51.ccode2 != 0 predicts failure perfectly
      51.ccode2 dropped and 1863 obs not used

note: 110.ccode2 != 0 predicts failure perfectly
      110.ccode2 dropped and 1863 obs not used

note: 155.ccode2 != 0 predicts failure perfectly
      155.ccode2 dropped and 869 obs not used

note: 310.ccode2 != 0 predicts failure perfectly
      310.ccode2 dropped and 1863 obs not used

note: 317.ccode2 != 0 predicts failure perfectly
      317.ccode2 dropped and 652 obs not used

note: 344.ccode2 != 0 predicts failure perfectly
      344.ccode2 dropped and 571 obs not used

note: 349.ccode2 != 0 predicts failure perfectly
      349.ccode2 dropped and 727 obs not used

note: 352.ccode2 != 0 predicts failure perfectly
      352.ccode2 dropped and 1165 obs not used

note: 355.ccode2 != 0 predicts failure perfectly
      355.ccode2 dropped and 1619 obs not used

note: 359.ccode2 != 0 predicts failure perfectly
      359.ccode2 dropped and 791 obs not used

note: 365.ccode2 != 0 predicts failure perfectly
      365.ccode2 dropped and 242 obs not used

note: 366.ccode2 != 0 predicts failure perfectly
      366.ccode2 dropped and 800 obs not used

note: 367.ccode2 != 0 predicts failure perfectly
      367.ccode2 dropped and 564 obs not used

note: 368.ccode2 != 0 predicts failure perfectly
      368.ccode2 dropped and 485 obs not used

note: 371.ccode2 != 0 predicts failure perfectly
      371.ccode2 dropped and 783 obs not used

note: 372.ccode2 != 0 predicts failure perfectly
      372.ccode2 dropped and 798 obs not used

note: 373.ccode2 != 0 predicts failure perfectly
      373.ccode2 dropped and 749 obs not used

note: 404.ccode2 != 0 predicts failure perfectly
      404.ccode2 dropped and 1868 obs not used

note: 432.ccode2 != 0 predicts failure perfectly
      432.ccode2 dropped and 1881 obs not used

note: 433.ccode2 != 0 predicts failure perfectly
      433.ccode2 dropped and 1863 obs not used

note: 434.ccode2 != 0 predicts failure perfectly
      434.ccode2 dropped and 1873 obs not used

note: 435.ccode2 != 0 predicts failure perfectly
      435.ccode2 dropped and 1636 obs not used

note: 436.ccode2 != 0 predicts failure perfectly
      436.ccode2 dropped and 1886 obs not used

note: 438.ccode2 != 0 predicts failure perfectly
      438.ccode2 dropped and 1879 obs not used

note: 439.ccode2 != 0 predicts failure perfectly
      439.ccode2 dropped and 900 obs not used

note: 451.ccode2 != 0 predicts failure perfectly
      451.ccode2 dropped and 1871 obs not used

note: 452.ccode2 != 0 predicts failure perfectly
      452.ccode2 dropped and 1570 obs not used

note: 471.ccode2 != 0 predicts failure perfectly
      471.ccode2 dropped and 1889 obs not used

note: 483.ccode2 != 0 predicts failure perfectly
      483.ccode2 dropped and 1889 obs not used

note: 484.ccode2 != 0 predicts failure perfectly
      484.ccode2 dropped and 1865 obs not used

note: 501.ccode2 != 0 predicts failure perfectly
      501.ccode2 dropped and 1889 obs not used

note: 510.ccode2 != 0 predicts failure perfectly
      510.ccode2 dropped and 1863 obs not used

note: 520.ccode2 != 0 predicts failure perfectly
      520.ccode2 dropped and 1889 obs not used

note: 522.ccode2 != 0 predicts failure perfectly
      522.ccode2 dropped and 1766 obs not used

note: 540.ccode2 != 0 predicts failure perfectly
      540.ccode2 dropped and 1825 obs not used

note: 541.ccode2 != 0 predicts failure perfectly
      541.ccode2 dropped and 1866 obs not used

note: 551.ccode2 != 0 predicts failure perfectly
      551.ccode2 dropped and 1863 obs not used

note: 553.ccode2 != 0 predicts failure perfectly
      553.ccode2 dropped and 1883 obs not used

note: 565.ccode2 != 0 predicts failure perfectly
      565.ccode2 dropped and 870 obs not used

note: 570.ccode2 != 0 predicts failure perfectly
      570.ccode2 dropped and 1802 obs not used

note: 571.ccode2 != 0 predicts failure perfectly
      571.ccode2 dropped and 1863 obs not used

note: 572.ccode2 != 0 predicts failure perfectly
      572.ccode2 dropped and 1889 obs not used

note: 580.ccode2 != 0 predicts failure perfectly
      580.ccode2 dropped and 1871 obs not used

note: 590.ccode2 != 0 predicts failure perfectly
      590.ccode2 dropped and 1868 obs not used

note: 616.ccode2 != 0 predicts failure perfectly
      616.ccode2 dropped and 1863 obs not used

note: 678.ccode2 != 0 predicts failure perfectly
      678.ccode2 dropped and 1009 obs not used

note: 694.ccode2 != 0 predicts failure perfectly
      694.ccode2 dropped and 1889 obs not used

note: 696.ccode2 != 0 predicts failure perfectly
      696.ccode2 dropped and 1889 obs not used

note: 698.ccode2 != 0 predicts failure perfectly
      698.ccode2 dropped and 1889 obs not used

note: 701.ccode2 != 0 predicts failure perfectly
      701.ccode2 dropped and 791 obs not used

note: 702.ccode2 != 0 predicts failure perfectly
      702.ccode2 dropped and 790 obs not used

note: 703.ccode2 != 0 predicts failure perfectly
      703.ccode2 dropped and 64 obs not used

note: 704.ccode2 != 0 predicts failure perfectly
      704.ccode2 dropped and 799 obs not used

note: 705.ccode2 != 0 predicts failure perfectly
      705.ccode2 dropped and 717 obs not used

note: 712.ccode2 != 0 predicts failure perfectly
      712.ccode2 dropped and 1867 obs not used

note: 760.ccode2 != 0 predicts failure perfectly
      760.ccode2 dropped and 1889 obs not used

note: 940.ccode2 != 0 predicts failure perfectly
      940.ccode2 dropped and 1493 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4216.5031}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3675.2035}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2191.2468}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1887.8123}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1789.815}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1783.0624}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1782.9929}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1782.9928}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    148407
{txt}{col 51}Wald chi2({res}105{txt}){col 67}= {res}   3975.77
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1782.9928{txt}{col 51}Pseudo R2{col 67}= {res}    0.5771

{txt}{ralign 81:(Std. Err. adjusted for {res:9245} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.2103293{col 29}{space 2} .1695296{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4}-.5426012{col 70}{space 3} .1219425
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .1166297{col 29}{space 2} .2207575{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4}-.3160471{col 70}{space 3} .5493066
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1033247{col 29}{space 2} .0756018{col 40}{space 1}   -1.37{col 49}{space 3}0.172{col 57}{space 4}-.2515015{col 70}{space 3} .0448521
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2717728{col 29}{space 2} .4873484{col 40}{space 1}    0.56{col 49}{space 3}0.577{col 57}{space 4}-.6834126{col 70}{space 3} 1.226958
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.7484868{col 29}{space 2} .5225778{col 40}{space 1}   -1.43{col 49}{space 3}0.152{col 57}{space 4} -1.77272{col 70}{space 3}  .275747
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} -.013611{col 29}{space 2} .1955563{col 40}{space 1}   -0.07{col 49}{space 3}0.945{col 57}{space 4}-.3968943{col 70}{space 3} .3696724
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.8961249{col 29}{space 2}  .502824{col 40}{space 1}   -1.78{col 49}{space 3}0.075{col 57}{space 4}-1.881642{col 70}{space 3}  .089392
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .9109621{col 29}{space 2} .6648112{col 40}{space 1}    1.37{col 49}{space 3}0.171{col 57}{space 4} -.392044{col 70}{space 3} 2.213968
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 19.66637{col 29}{space 2} 9.920414{col 40}{space 1}    1.98{col 49}{space 3}0.047{col 57}{space 4}  .222719{col 70}{space 3} 39.11003
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 2.934931{col 29}{space 2} .3758296{col 40}{space 1}    7.81{col 49}{space 3}0.000{col 57}{space 4} 2.198319{col 70}{space 3} 3.671544
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0742056{col 29}{space 2} .0412047{col 40}{space 1}    1.80{col 49}{space 3}0.072{col 57}{space 4}-.0065541{col 70}{space 3} .1549653
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .1314532{col 29}{space 2} .0384544{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} .0560839{col 70}{space 3} .2068225
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} -.141792{col 29}{space 2}  .029327{col 40}{space 1}   -4.83{col 49}{space 3}0.000{col 57}{space 4}-.1992719{col 70}{space 3}-.0843121
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.248752{col 29}{space 2} .3890002{col 40}{space 1}    3.21{col 49}{space 3}0.001{col 57}{space 4} .4863252{col 70}{space 3} 2.011178
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} .8046691{col 29}{space 2} .0917255{col 40}{space 1}    8.77{col 49}{space 3}0.000{col 57}{space 4} .6248905{col 70}{space 3} .9844477
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.880941{col 29}{space 2} .6252411{col 40}{space 1}    3.01{col 49}{space 3}0.003{col 57}{space 4} .6554912{col 70}{space 3} 3.106391
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.6512298{col 29}{space 2} .0712537{col 40}{space 1}   -9.14{col 49}{space 3}0.000{col 57}{space 4}-.7908845{col 70}{space 3} -.511575
{txt}threat_years2_i {c |}{col 17}{res}{space 2}  .042516{col 29}{space 2} .0054197{col 40}{space 1}    7.84{col 49}{space 3}0.000{col 57}{space 4} .0318937{col 70}{space 3} .0531384
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000786{col 29}{space 2} .0001159{col 40}{space 1}   -6.78{col 49}{space 3}0.000{col 57}{space 4}-.0010133{col 70}{space 3}-.0005587
{txt}{space 15} {c |}
{space 9}ccode2 {c |}
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{txt}{space 11}811  {c |}{col 17}{res}{space 2}-4.524326{col 29}{space 2} 1.034927{col 40}{space 1}   -4.37{col 49}{space 3}0.000{col 57}{space 4}-6.552745{col 70}{space 3}-2.495907
{txt}{space 11}812  {c |}{col 17}{res}{space 2}-3.475082{col 29}{space 2} 1.105915{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4}-5.642636{col 70}{space 3}-1.307529
{txt}{space 11}816  {c |}{col 17}{res}{space 2}-1.059028{col 29}{space 2} .9217572{col 40}{space 1}   -1.15{col 49}{space 3}0.251{col 57}{space 4}-2.865639{col 70}{space 3} .7475827
{txt}{space 11}820  {c |}{col 17}{res}{space 2}-5.255685{col 29}{space 2} .9922404{col 40}{space 1}   -5.30{col 49}{space 3}0.000{col 57}{space 4} -7.20044{col 70}{space 3}-3.310929
{txt}{space 11}830  {c |}{col 17}{res}{space 2}-5.147968{col 29}{space 2} .9050929{col 40}{space 1}   -5.69{col 49}{space 3}0.000{col 57}{space 4}-6.921918{col 70}{space 3}-3.374019
{txt}{space 11}840  {c |}{col 17}{res}{space 2}-6.628385{col 29}{space 2} .7485862{col 40}{space 1}   -8.85{col 49}{space 3}0.000{col 57}{space 4}-8.095587{col 70}{space 3}-5.161184
{txt}{space 11}850  {c |}{col 17}{res}{space 2}-3.364102{col 29}{space 2} .7956623{col 40}{space 1}   -4.23{col 49}{space 3}0.000{col 57}{space 4}-4.923571{col 70}{space 3}-1.804633
{txt}{space 11}900  {c |}{col 17}{res}{space 2}-3.879411{col 29}{space 2} .7666194{col 40}{space 1}   -5.06{col 49}{space 3}0.000{col 57}{space 4}-5.381957{col 70}{space 3}-2.376864
{txt}{space 11}920  {c |}{col 17}{res}{space 2}-5.016995{col 29}{space 2}  .838355{col 40}{space 1}   -5.98{col 49}{space 3}0.000{col 57}{space 4} -6.66014{col 70}{space 3}-3.373849
{txt}{space 11}940  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}950  {c |}{col 17}{res}{space 2}-8.334076{col 29}{space 2} 1.612339{col 40}{space 1}   -5.17{col 49}{space 3}0.000{col 57}{space 4} -11.4942{col 70}{space 3}-5.173949
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-3.444447{col 29}{space 2} 2.608589{col 40}{space 1}   -1.32{col 49}{space 3}0.187{col 57}{space 4}-8.557188{col 70}{space 3} 1.668295
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table21 , word label title(Table 21: Political Ideology For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table21.rtf"'"':Table21.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table21.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode2, vce(cluster dyadid)

{txt}note: 41.ccode2 != 0 predicts failure perfectly
      41.ccode2 dropped and 5 obs not used

note: 90.ccode2 != 0 predicts failure perfectly
      90.ccode2 dropped and 1 obs not used

note: 92.ccode2 != 0 predicts failure perfectly
      92.ccode2 dropped and 6 obs not used

note: 94.ccode2 != 0 predicts failure perfectly
      94.ccode2 dropped and 6 obs not used

note: 101.ccode2 != 0 predicts failure perfectly
      101.ccode2 dropped and 5 obs not used

note: 135.ccode2 != 0 predicts success perfectly
      135.ccode2 dropped and 8 obs not used

note: 150.ccode2 != 0 predicts success perfectly
      150.ccode2 dropped and 7 obs not used

note: 165.ccode2 != 0 predicts failure perfectly
      165.ccode2 dropped and 5 obs not used

note: 205.ccode2 != 0 predicts failure perfectly
      205.ccode2 dropped and 3 obs not used

note: 211.ccode2 != 0 predicts failure perfectly
      211.ccode2 dropped and 4 obs not used

note: 225.ccode2 != 0 predicts failure perfectly
      225.ccode2 dropped and 1 obs not used

note: 290.ccode2 != 0 predicts failure perfectly
      290.ccode2 dropped and 6 obs not used

note: 339.ccode2 != 0 predicts failure perfectly
      339.ccode2 dropped and 2 obs not used

note: 343.ccode2 != 0 predicts failure perfectly
      343.ccode2 dropped and 2 obs not used

note: 350.ccode2 != 0 predicts failure perfectly
      350.ccode2 dropped and 1 obs not used

note: 369.ccode2 != 0 predicts failure perfectly
      369.ccode2 dropped and 1 obs not used

note: 370.ccode2 != 0 predicts failure perfectly
      370.ccode2 dropped and 2 obs not used

note: 375.ccode2 != 0 predicts failure perfectly
      375.ccode2 dropped and 1 obs not used

note: 380.ccode2 != 0 predicts failure perfectly
      380.ccode2 dropped and 3 obs not used

note: 390.ccode2 != 0 predicts success perfectly
      390.ccode2 dropped and 1 obs not used

note: 420.ccode2 != 0 predicts success perfectly
      420.ccode2 dropped and 1 obs not used

note: 437.ccode2 != 0 predicts success perfectly
      437.ccode2 dropped and 1 obs not used

note: 450.ccode2 != 0 predicts failure perfectly
      450.ccode2 dropped and 1 obs not used

note: 461.ccode2 != 0 predicts success perfectly
      461.ccode2 dropped and 1 obs not used

note: 475.ccode2 != 0 predicts failure perfectly
      475.ccode2 dropped and 7 obs not used

note: 481.ccode2 != 0 predicts success perfectly
      481.ccode2 dropped and 1 obs not used

note: 500.ccode2 != 0 predicts failure perfectly
      500.ccode2 dropped and 4 obs not used

note: 517.ccode2 != 0 predicts success perfectly
      517.ccode2 dropped and 1 obs not used

note: 531.ccode2 != 0 predicts failure perfectly
      531.ccode2 dropped and 2 obs not used

note: 552.ccode2 != 0 predicts failure perfectly
      552.ccode2 dropped and 14 obs not used

note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

note: 600.ccode2 != 0 predicts success perfectly
      600.ccode2 dropped and 2 obs not used

note: 615.ccode2 != 0 predicts success perfectly
      615.ccode2 dropped and 1 obs not used

note: 620.ccode2 != 0 predicts failure perfectly
      620.ccode2 dropped and 27 obs not used

note: 625.ccode2 != 0 predicts failure perfectly
      625.ccode2 dropped and 5 obs not used

note: 660.ccode2 != 0 predicts failure perfectly
      660.ccode2 dropped and 2 obs not used

note: 663.ccode2 != 0 predicts success perfectly
      663.ccode2 dropped and 5 obs not used

note: 690.ccode2 != 0 predicts success perfectly
      690.ccode2 dropped and 1 obs not used

note: 692.ccode2 != 0 predicts success perfectly
      692.ccode2 dropped and 1 obs not used

note: 700.ccode2 != 0 predicts failure perfectly
      700.ccode2 dropped and 4 obs not used

note: 771.ccode2 != 0 predicts success perfectly
      771.ccode2 dropped and 4 obs not used

note: 775.ccode2 != 0 predicts failure perfectly
      775.ccode2 dropped and 3 obs not used

note: 790.ccode2 != 0 predicts failure perfectly
      790.ccode2 dropped and 2 obs not used

note: 811.ccode2 != 0 predicts failure perfectly
      811.ccode2 dropped and 8 obs not used

note: 812.ccode2 != 0 predicts failure perfectly
      812.ccode2 dropped and 21 obs not used

note: 816.ccode2 != 0 predicts failure perfectly
      816.ccode2 dropped and 21 obs not used

note: 840.ccode2 != 0 predicts success perfectly
      840.ccode2 dropped and 1 obs not used

note: 950.ccode2 != 0 predicts failure perfectly
      950.ccode2 dropped and 3 obs not used

note: 780.ccode2 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-284.67917}  
Iteration 1:{space 3}log pseudolikelihood = {res:-229.08035}  
Iteration 2:{space 3}log pseudolikelihood = {res:-226.81746}  
Iteration 3:{space 3}log pseudolikelihood = {res: -226.7648}  
Iteration 4:{space 3}log pseudolikelihood = {res:-226.76464}  
Iteration 5:{space 3}log pseudolikelihood = {res:-226.76464}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       441
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(39)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-226.76464{txt}{col 51}Pseudo R2{col 67}= {res}    0.2034

{txt}{ralign 79:(Std. Err. adjusted for {res:100} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .7099536{col 27}{space 2} .3479523{col 38}{space 1}    2.04{col 47}{space 3}0.041{col 55}{space 4} .0279796{col 68}{space 3} 1.391928
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .6869732{col 27}{space 2} .3657614{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4} -.029906{col 68}{space 3} 1.403852
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2022799{col 27}{space 2} .1702776{col 38}{space 1}   -1.19{col 47}{space 3}0.235{col 55}{space 4}-.5360177{col 68}{space 3}  .131458
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} 1.606409{col 27}{space 2} 1.419617{col 38}{space 1}    1.13{col 47}{space 3}0.258{col 55}{space 4}-1.175989{col 68}{space 3} 4.388808
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .5254067{col 27}{space 2} .4707404{col 38}{space 1}    1.12{col 47}{space 3}0.264{col 55}{space 4}-.3972276{col 68}{space 3} 1.448041
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2} .9770328{col 27}{space 2} 1.176384{col 38}{space 1}    0.83{col 47}{space 3}0.406{col 55}{space 4}-1.328638{col 68}{space 3} 3.282704
{txt}igomember_log {c |}{col 15}{res}{space 2} 2.167312{col 27}{space 2} 1.891428{col 38}{space 1}    1.15{col 47}{space 3}0.252{col 55}{space 4}-1.539819{col 68}{space 3} 5.874443
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} -22.7224{col 27}{space 2} 26.45245{col 38}{space 1}   -0.86{col 47}{space 3}0.390{col 55}{space 4}-74.56825{col 68}{space 3} 29.12345
{txt}{space 5}ussender {c |}{col 15}{res}{space 2}-.4028625{col 27}{space 2} 1.399779{col 38}{space 1}   -0.29{col 47}{space 3}0.773{col 55}{space 4}-3.146379{col 68}{space 3} 2.340654
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.2396214{col 27}{space 2} .1363893{col 38}{space 1}   -1.76{col 47}{space 3}0.079{col 55}{space 4}-.5069395{col 68}{space 3} .0276968
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1712376{col 27}{space 2} .0938305{col 38}{space 1}   -1.82{col 47}{space 3}0.068{col 55}{space 4}-.3551419{col 68}{space 3} .0126668
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .1873366{col 27}{space 2} .0603704{col 38}{space 1}    3.10{col 47}{space 3}0.002{col 55}{space 4} .0690127{col 68}{space 3} .3056604
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2} .3093568{col 27}{space 2} .7405986{col 38}{space 1}    0.42{col 47}{space 3}0.676{col 55}{space 4} -1.14219{col 68}{space 3} 1.760903
{txt}{space 5}capratio {c |}{col 15}{res}{space 2} .2146018{col 27}{space 2}  .507417{col 38}{space 1}    0.42{col 47}{space 3}0.672{col 55}{space 4}-.7799172{col 68}{space 3} 1.209121
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2} .4051393{col 27}{space 2} 1.249518{col 38}{space 1}    0.32{col 47}{space 3}0.746{col 55}{space 4}-2.043871{col 68}{space 3}  2.85415
{txt}{space 13} {c |}
{space 7}ccode2 {c |}
{space 10}20  {c |}{col 15}{res}{space 2} -.742557{col 27}{space 2}  1.50004{col 38}{space 1}   -0.50{col 47}{space 3}0.621{col 55}{space 4}-3.682581{col 68}{space 3} 2.197467
{txt}{space 10}41  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}70  {c |}{col 15}{res}{space 2}-.8910975{col 27}{space 2} 1.658362{col 38}{space 1}   -0.54{col 47}{space 3}0.591{col 55}{space 4}-4.141428{col 68}{space 3} 2.359233
{txt}{space 10}90  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}91  {c |}{col 15}{res}{space 2}-2.767109{col 27}{space 2} 3.505414{col 38}{space 1}   -0.79{col 47}{space 3}0.430{col 55}{space 4}-9.637594{col 68}{space 3} 4.103377
{txt}{space 10}92  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}93  {c |}{col 15}{res}{space 2}-4.805374{col 27}{space 2} 3.256737{col 38}{space 1}   -1.48{col 47}{space 3}0.140{col 55}{space 4}-11.18846{col 68}{space 3} 1.577713
{txt}{space 10}94  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}95  {c |}{col 15}{res}{space 2}-3.339694{col 27}{space 2}  3.39457{col 38}{space 1}   -0.98{col 47}{space 3}0.325{col 55}{space 4}-9.992928{col 68}{space 3}  3.31354
{txt}{space 9}100  {c |}{col 15}{res}{space 2}-3.475877{col 27}{space 2} 1.985799{col 38}{space 1}   -1.75{col 47}{space 3}0.080{col 55}{space 4}-7.367971{col 68}{space 3} .4162176
{txt}{space 9}101  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}130  {c |}{col 15}{res}{space 2} -2.38566{col 27}{space 2}  2.50397{col 38}{space 1}   -0.95{col 47}{space 3}0.341{col 55}{space 4}-7.293351{col 68}{space 3} 2.522031
{txt}{space 9}135  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}140  {c |}{col 15}{res}{space 2}-2.804274{col 27}{space 2} 1.358156{col 38}{space 1}   -2.06{col 47}{space 3}0.039{col 55}{space 4} -5.46621{col 68}{space 3}-.1423375
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-2.525725{col 27}{space 2} 2.974166{col 38}{space 1}   -0.85{col 47}{space 3}0.396{col 55}{space 4}-8.354984{col 68}{space 3} 3.303533
{txt}{space 9}150  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}160  {c |}{col 15}{res}{space 2}-2.356397{col 27}{space 2} 1.857892{col 38}{space 1}   -1.27{col 47}{space 3}0.205{col 55}{space 4}-5.997798{col 68}{space 3} 1.285004
{txt}{space 9}165  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}200  {c |}{col 15}{res}{space 2}  -2.4293{col 27}{space 2} 1.152041{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4} -4.68726{col 68}{space 3}-.1713401
{txt}{space 9}205  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}210  {c |}{col 15}{res}{space 2}-2.488246{col 27}{space 2} 2.098591{col 38}{space 1}   -1.19{col 47}{space 3}0.236{col 55}{space 4}-6.601409{col 68}{space 3} 1.624917
{txt}{space 9}211  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}220  {c |}{col 15}{res}{space 2}-2.234217{col 27}{space 2} 1.182473{col 38}{space 1}   -1.89{col 47}{space 3}0.059{col 55}{space 4}-4.551822{col 68}{space 3} .0833885
{txt}{space 9}225  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}230  {c |}{col 15}{res}{space 2}-2.748139{col 27}{space 2} 1.466486{col 38}{space 1}   -1.87{col 47}{space 3}0.061{col 55}{space 4}-5.622399{col 68}{space 3} .1261212
{txt}{space 9}235  {c |}{col 15}{res}{space 2}  -2.2305{col 27}{space 2} 2.556665{col 38}{space 1}   -0.87{col 47}{space 3}0.383{col 55}{space 4}-7.241472{col 68}{space 3} 2.780473
{txt}{space 9}290  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}305  {c |}{col 15}{res}{space 2}-1.793136{col 27}{space 2} 2.088795{col 38}{space 1}   -0.86{col 47}{space 3}0.391{col 55}{space 4}-5.887099{col 68}{space 3} 2.300828
{txt}{space 9}325  {c |}{col 15}{res}{space 2}-2.769046{col 27}{space 2} 1.213196{col 38}{space 1}   -2.28{col 47}{space 3}0.022{col 55}{space 4}-5.146866{col 68}{space 3} -.391226
{txt}{space 9}339  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}350  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}360  {c |}{col 15}{res}{space 2} .6643078{col 27}{space 2} 2.122645{col 38}{space 1}    0.31{col 47}{space 3}0.754{col 55}{space 4}   -3.496{col 68}{space 3} 4.824615
{txt}{space 9}369  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}370  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}375  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}380  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}385  {c |}{col 15}{res}{space 2}-1.501696{col 27}{space 2} 2.261666{col 38}{space 1}   -0.66{col 47}{space 3}0.507{col 55}{space 4} -5.93448{col 68}{space 3} 2.931088
{txt}{space 9}390  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}420  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}437  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}450  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}461  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}475  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}481  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}500  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}516  {c |}{col 15}{res}{space 2}-4.276055{col 27}{space 2} 2.714783{col 38}{space 1}   -1.58{col 47}{space 3}0.115{col 55}{space 4}-9.596933{col 68}{space 3} 1.044823
{txt}{space 9}517  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}531  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}552  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}560  {c |}{col 15}{res}{space 2} .8001178{col 27}{space 2} 2.228091{col 38}{space 1}    0.36{col 47}{space 3}0.720{col 55}{space 4}-3.566861{col 68}{space 3} 5.167096
{txt}{space 9}600  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}615  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}620  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}625  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}630  {c |}{col 15}{res}{space 2}-1.227357{col 27}{space 2} 1.962127{col 38}{space 1}   -0.63{col 47}{space 3}0.532{col 55}{space 4}-5.073055{col 68}{space 3} 2.618342
{txt}{space 9}640  {c |}{col 15}{res}{space 2}-2.180658{col 27}{space 2} 1.623235{col 38}{space 1}   -1.34{col 47}{space 3}0.179{col 55}{space 4}-5.362139{col 68}{space 3} 1.000823
{txt}{space 9}645  {c |}{col 15}{res}{space 2} -.229866{col 27}{space 2} 2.284738{col 38}{space 1}   -0.10{col 47}{space 3}0.920{col 55}{space 4} -4.70787{col 68}{space 3} 4.248138
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{txt}{space 9}670  {c |}{col 15}{res}{space 2}-.4870087{col 27}{space 2} 2.062561{col 38}{space 1}   -0.24{col 47}{space 3}0.813{col 55}{space 4}-4.529555{col 68}{space 3} 3.555537
{txt}{space 9}690  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}692  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}700  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}740  {c |}{col 15}{res}{space 2}-1.336028{col 27}{space 2} .8852754{col 38}{space 1}   -1.51{col 47}{space 3}0.131{col 55}{space 4}-3.071136{col 68}{space 3} .3990803
{txt}{space 9}750  {c |}{col 15}{res}{space 2}-1.946357{col 27}{space 2} 1.112785{col 38}{space 1}   -1.75{col 47}{space 3}0.080{col 55}{space 4}-4.127376{col 68}{space 3} .2346612
{txt}{space 9}770  {c |}{col 15}{res}{space 2}-2.521408{col 27}{space 2} 1.605543{col 38}{space 1}   -1.57{col 47}{space 3}0.116{col 55}{space 4}-5.668214{col 68}{space 3} .6253979
{txt}{space 9}771  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}775  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}780  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}790  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}800  {c |}{col 15}{res}{space 2}-1.029623{col 27}{space 2} 1.798623{col 38}{space 1}   -0.57{col 47}{space 3}0.567{col 55}{space 4}-4.554859{col 68}{space 3} 2.495614
{txt}{space 9}811  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}812  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}816  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}820  {c |}{col 15}{res}{space 2} .5212744{col 27}{space 2} 2.390027{col 38}{space 1}    0.22{col 47}{space 3}0.827{col 55}{space 4}-4.163091{col 68}{space 3}  5.20564
{txt}{space 9}830  {c |}{col 15}{res}{space 2} .4706044{col 27}{space 2}  2.63268{col 38}{space 1}    0.18{col 47}{space 3}0.858{col 55}{space 4}-4.689353{col 68}{space 3} 5.630562
{txt}{space 9}840  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}850  {c |}{col 15}{res}{space 2} .1325315{col 27}{space 2} 1.701351{col 38}{space 1}    0.08{col 47}{space 3}0.938{col 55}{space 4}-3.202055{col 68}{space 3} 3.467118
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-2.686892{col 27}{space 2} 1.671635{col 38}{space 1}   -1.61{col 47}{space 3}0.108{col 55}{space 4}-5.963237{col 68}{space 3} .5894529
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-4.533423{col 27}{space 2} 2.708731{col 38}{space 1}   -1.67{col 47}{space 3}0.094{col 55}{space 4}-9.842438{col 68}{space 3} .7755911
{txt}{space 9}950  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-6.193784{col 27}{space 2}  7.30676{col 38}{space 1}   -0.85{col 47}{space 3}0.397{col 55}{space 4}-20.51477{col 68}{space 3} 8.127202
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table21 , word label title(Table 21: Political Ideology For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table21.rtf"'"':Table21.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table21.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 22****
. *Model 1*
. logit threat AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode1, iterate(10) cluster(dyadid)

{txt}note: 41.ccode1 != 0 predicts failure perfectly
      41.ccode1 dropped and 3622 obs not used

note: 42.ccode1 != 0 predicts failure perfectly
      42.ccode1 dropped and 3622 obs not used

note: 51.ccode1 != 0 predicts failure perfectly
      51.ccode1 dropped and 3621 obs not used

note: 52.ccode1 != 0 predicts failure perfectly
      52.ccode1 dropped and 3622 obs not used

note: 90.ccode1 != 0 predicts failure perfectly
      90.ccode1 dropped and 3621 obs not used

note: 91.ccode1 != 0 predicts failure perfectly
      91.ccode1 dropped and 3621 obs not used

note: 92.ccode1 != 0 predicts failure perfectly
      92.ccode1 dropped and 3621 obs not used

note: 93.ccode1 != 0 predicts failure perfectly
      93.ccode1 dropped and 3621 obs not used

note: 94.ccode1 != 0 predicts failure perfectly
      94.ccode1 dropped and 3621 obs not used

note: 95.ccode1 != 0 predicts failure perfectly
      95.ccode1 dropped and 3621 obs not used

note: 101.ccode1 != 0 predicts failure perfectly
      101.ccode1 dropped and 3621 obs not used

note: 110.ccode1 != 0 predicts failure perfectly
      110.ccode1 dropped and 3617 obs not used

note: 130.ccode1 != 0 predicts failure perfectly
      130.ccode1 dropped and 3621 obs not used

note: 135.ccode1 != 0 predicts failure perfectly
      135.ccode1 dropped and 3621 obs not used

note: 145.ccode1 != 0 predicts failure perfectly
      145.ccode1 dropped and 3616 obs not used

note: 150.ccode1 != 0 predicts failure perfectly
      150.ccode1 dropped and 3621 obs not used

note: 165.ccode1 != 0 predicts failure perfectly
      165.ccode1 dropped and 3622 obs not used

note: 205.ccode1 != 0 predicts failure perfectly
      205.ccode1 dropped and 3622 obs not used

note: 210.ccode1 != 0 predicts failure perfectly
      210.ccode1 dropped and 3622 obs not used

note: 211.ccode1 != 0 predicts failure perfectly
      211.ccode1 dropped and 3622 obs not used

note: 235.ccode1 != 0 predicts failure perfectly
      235.ccode1 dropped and 3622 obs not used

note: 290.ccode1 != 0 predicts failure perfectly
      290.ccode1 dropped and 3622 obs not used

note: 305.ccode1 != 0 predicts failure perfectly
      305.ccode1 dropped and 3622 obs not used

note: 310.ccode1 != 0 predicts failure perfectly
      310.ccode1 dropped and 3622 obs not used

note: 317.ccode1 != 0 predicts failure perfectly
      317.ccode1 dropped and 1045 obs not used

note: 339.ccode1 != 0 predicts failure perfectly
      339.ccode1 dropped and 3616 obs not used

note: 343.ccode1 != 0 predicts failure perfectly
      343.ccode1 dropped and 1045 obs not used

note: 344.ccode1 != 0 predicts failure perfectly
      344.ccode1 dropped and 1174 obs not used

note: 346.ccode1 != 0 predicts failure perfectly
      346.ccode1 dropped and 391 obs not used

note: 349.ccode1 != 0 predicts failure perfectly
      349.ccode1 dropped and 1174 obs not used

note: 352.ccode1 != 0 predicts failure perfectly
      352.ccode1 dropped and 3622 obs not used

note: 355.ccode1 != 0 predicts failure perfectly
      355.ccode1 dropped and 3622 obs not used

note: 359.ccode1 != 0 predicts failure perfectly
      359.ccode1 dropped and 1283 obs not used

note: 366.ccode1 != 0 predicts failure perfectly
      366.ccode1 dropped and 1292 obs not used

note: 367.ccode1 != 0 predicts failure perfectly
      367.ccode1 dropped and 1293 obs not used

note: 368.ccode1 != 0 predicts failure perfectly
      368.ccode1 dropped and 1293 obs not used

note: 369.ccode1 != 0 predicts failure perfectly
      369.ccode1 dropped and 1299 obs not used

note: 372.ccode1 != 0 predicts failure perfectly
      372.ccode1 dropped and 1286 obs not used

note: 375.ccode1 != 0 predicts failure perfectly
      375.ccode1 dropped and 3622 obs not used

note: 385.ccode1 != 0 predicts failure perfectly
      385.ccode1 dropped and 3622 obs not used

note: 390.ccode1 != 0 predicts failure perfectly
      390.ccode1 dropped and 3622 obs not used

note: 420.ccode1 != 0 predicts failure perfectly
      420.ccode1 dropped and 3623 obs not used

note: 432.ccode1 != 0 predicts failure perfectly
      432.ccode1 dropped and 3624 obs not used

note: 433.ccode1 != 0 predicts failure perfectly
      433.ccode1 dropped and 3624 obs not used

note: 434.ccode1 != 0 predicts failure perfectly
      434.ccode1 dropped and 3624 obs not used

note: 435.ccode1 != 0 predicts failure perfectly
      435.ccode1 dropped and 3624 obs not used

note: 436.ccode1 != 0 predicts failure perfectly
      436.ccode1 dropped and 3623 obs not used

note: 437.ccode1 != 0 predicts failure perfectly
      437.ccode1 dropped and 3623 obs not used

note: 439.ccode1 != 0 predicts failure perfectly
      439.ccode1 dropped and 3624 obs not used

note: 451.ccode1 != 0 predicts failure perfectly
      451.ccode1 dropped and 3623 obs not used

note: 452.ccode1 != 0 predicts failure perfectly
      452.ccode1 dropped and 3623 obs not used

note: 461.ccode1 != 0 predicts failure perfectly
      461.ccode1 dropped and 3623 obs not used

note: 471.ccode1 != 0 predicts failure perfectly
      471.ccode1 dropped and 3623 obs not used

note: 481.ccode1 != 0 predicts failure perfectly
      481.ccode1 dropped and 3624 obs not used

note: 482.ccode1 != 0 predicts failure perfectly
      482.ccode1 dropped and 3623 obs not used

note: 483.ccode1 != 0 predicts failure perfectly
      483.ccode1 dropped and 3624 obs not used

note: 484.ccode1 != 0 predicts failure perfectly
      484.ccode1 dropped and 3623 obs not used

note: 500.ccode1 != 0 predicts failure perfectly
      500.ccode1 dropped and 3514 obs not used

note: 517.ccode1 != 0 predicts failure perfectly
      517.ccode1 dropped and 3623 obs not used

note: 540.ccode1 != 0 predicts failure perfectly
      540.ccode1 dropped and 3011 obs not used

note: 541.ccode1 != 0 predicts failure perfectly
      541.ccode1 dropped and 3083 obs not used

note: 551.ccode1 != 0 predicts failure perfectly
      551.ccode1 dropped and 3623 obs not used

note: 552.ccode1 != 0 predicts failure perfectly
      552.ccode1 dropped and 2535 obs not used

note: 553.ccode1 != 0 predicts failure perfectly
      553.ccode1 dropped and 3623 obs not used

note: 560.ccode1 != 0 predicts failure perfectly
      560.ccode1 dropped and 3622 obs not used

note: 565.ccode1 != 0 predicts failure perfectly
      565.ccode1 dropped and 1412 obs not used

note: 570.ccode1 != 0 predicts failure perfectly
      570.ccode1 dropped and 3623 obs not used

note: 571.ccode1 != 0 predicts failure perfectly
      571.ccode1 dropped and 3618 obs not used

note: 572.ccode1 != 0 predicts failure perfectly
      572.ccode1 dropped and 3623 obs not used

note: 580.ccode1 != 0 predicts failure perfectly
      580.ccode1 dropped and 3623 obs not used

note: 590.ccode1 != 0 predicts failure perfectly
      590.ccode1 dropped and 3623 obs not used

note: 600.ccode1 != 0 predicts failure perfectly
      600.ccode1 dropped and 3624 obs not used

note: 615.ccode1 != 0 predicts failure perfectly
      615.ccode1 dropped and 3624 obs not used

note: 616.ccode1 != 0 predicts failure perfectly
      616.ccode1 dropped and 3624 obs not used

note: 663.ccode1 != 0 predicts failure perfectly
      663.ccode1 dropped and 3623 obs not used

note: 692.ccode1 != 0 predicts failure perfectly
      692.ccode1 dropped and 3514 obs not used

note: 694.ccode1 != 0 predicts failure perfectly
      694.ccode1 dropped and 3519 obs not used

note: 696.ccode1 != 0 predicts failure perfectly
      696.ccode1 dropped and 3519 obs not used

note: 698.ccode1 != 0 predicts failure perfectly
      698.ccode1 dropped and 3514 obs not used

note: 702.ccode1 != 0 predicts failure perfectly
      702.ccode1 dropped and 1282 obs not used

note: 703.ccode1 != 0 predicts failure perfectly
      703.ccode1 dropped and 1283 obs not used

note: 712.ccode1 != 0 predicts failure perfectly
      712.ccode1 dropped and 3622 obs not used

note: 770.ccode1 != 0 predicts failure perfectly
      770.ccode1 dropped and 3622 obs not used

note: 771.ccode1 != 0 predicts failure perfectly
      771.ccode1 dropped and 3413 obs not used

note: 775.ccode1 != 0 predicts failure perfectly
      775.ccode1 dropped and 3616 obs not used

note: 780.ccode1 != 0 predicts failure perfectly
      780.ccode1 dropped and 393 obs not used

note: 790.ccode1 != 0 predicts failure perfectly
      790.ccode1 dropped and 3616 obs not used

note: 811.ccode1 != 0 predicts failure perfectly
      811.ccode1 dropped and 2610 obs not used

note: 816.ccode1 != 0 predicts failure perfectly
      816.ccode1 dropped and 3614 obs not used

note: 840.ccode1 != 0 predicts failure perfectly
      840.ccode1 dropped and 3622 obs not used

note: 910.ccode1 != 0 predicts failure perfectly
      910.ccode1 dropped and 3083 obs not used

note: 950.ccode1 != 0 predicts failure perfectly
      950.ccode1 dropped and 3621 obs not used

note: 920.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5021.1491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3704.4018}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3111.0541}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2881.2517}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2868.2814}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2868.0216}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2868.0206}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2868.0206}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    138086
{txt}{col 51}Wald chi2({res}56{txt}){col 67}= {res}   1447.82
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2868.0206{txt}{col 51}Pseudo R2{col 67}= {res}    0.4288

{txt}{ralign 81:(Std. Err. adjusted for {res:5412} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0028468{col 29}{space 2} .0038698{col 40}{space 1}    0.74{col 49}{space 3}0.462{col 57}{space 4}-.0047378{col 70}{space 3} .0104314
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3189079{col 29}{space 2} .4029676{col 40}{space 1}    0.79{col 49}{space 3}0.429{col 57}{space 4} -.470894{col 70}{space 3}  1.10871
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2802244{col 29}{space 2} .5297119{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4}-.7579917{col 70}{space 3} 1.318441
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2492372{col 29}{space 2} .1781461{col 40}{space 1}    1.40{col 49}{space 3}0.162{col 57}{space 4}-.0999228{col 70}{space 3} .5983971
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2} -.621058{col 29}{space 2} .3087413{col 40}{space 1}   -2.01{col 49}{space 3}0.044{col 57}{space 4} -1.22618{col 70}{space 3}-.0159362
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.045378{col 29}{space 2} .4793978{col 40}{space 1}    2.18{col 49}{space 3}0.029{col 57}{space 4} .1057758{col 70}{space 3} 1.984981
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 31.21071{col 29}{space 2} 6.593214{col 40}{space 1}    4.73{col 49}{space 3}0.000{col 57}{space 4} 18.28825{col 70}{space 3} 44.13317
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 8.380275{col 29}{space 2} 1.169735{col 40}{space 1}    7.16{col 49}{space 3}0.000{col 57}{space 4} 6.087637{col 70}{space 3} 10.67291
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0714327{col 29}{space 2} .0504313{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.0274109{col 70}{space 3} .1702763
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0178817{col 29}{space 2} .0201875{col 40}{space 1}    0.89{col 49}{space 3}0.376{col 57}{space 4} -.021685{col 70}{space 3} .0574485
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0230042{col 29}{space 2} .0219616{col 40}{space 1}   -1.05{col 49}{space 3}0.295{col 57}{space 4}-.0660482{col 70}{space 3} .0200398
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .7747511{col 29}{space 2} .2178264{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} .3478191{col 70}{space 3} 1.201683
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.4908029{col 29}{space 2} .0701519{col 40}{space 1}   -7.00{col 49}{space 3}0.000{col 57}{space 4} -.628298{col 70}{space 3}-.3533078
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.209702{col 29}{space 2} .5500253{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} 1.131672{col 70}{space 3} 3.287732
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5561631{col 29}{space 2} .0531933{col 40}{space 1}  -10.46{col 49}{space 3}0.000{col 57}{space 4}  -.66042{col 70}{space 3}-.4519061
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0374228{col 29}{space 2}  .004176{col 40}{space 1}    8.96{col 49}{space 3}0.000{col 57}{space 4}  .029238{col 70}{space 3} .0456075
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0007262{col 29}{space 2} .0000915{col 40}{space 1}   -7.94{col 49}{space 3}0.000{col 57}{space 4}-.0009054{col 70}{space 3} -.000547
{txt}{space 15} {c |}
{space 9}ccode1 {c |}
{space 12}20  {c |}{col 17}{res}{space 2} 5.181799{col 29}{space 2} 1.073333{col 40}{space 1}    4.83{col 49}{space 3}0.000{col 57}{space 4} 3.078105{col 70}{space 3} 7.285493
{txt}{space 12}41  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}42  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}52  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}70  {c |}{col 17}{res}{space 2} 4.950902{col 29}{space 2} 1.288865{col 40}{space 1}    3.84{col 49}{space 3}0.000{col 57}{space 4} 2.424772{col 70}{space 3} 7.477032
{txt}{space 12}90  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}91  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}92  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}93  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}94  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}95  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}100  {c |}{col 17}{res}{space 2} 2.809227{col 29}{space 2} 1.108824{col 40}{space 1}    2.53{col 49}{space 3}0.011{col 57}{space 4} .6359725{col 70}{space 3} 4.982482
{txt}{space 11}101  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}110  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}130  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}135  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}140  {c |}{col 17}{res}{space 2}  3.38987{col 29}{space 2} 1.241845{col 40}{space 1}    2.73{col 49}{space 3}0.006{col 57}{space 4} .9558995{col 70}{space 3} 5.823841
{txt}{space 11}145  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}155  {c |}{col 17}{res}{space 2} 2.728026{col 29}{space 2} 1.310975{col 40}{space 1}    2.08{col 49}{space 3}0.037{col 57}{space 4}  .158563{col 70}{space 3} 5.297489
{txt}{space 11}160  {c |}{col 17}{res}{space 2} 3.251068{col 29}{space 2} 1.516774{col 40}{space 1}    2.14{col 49}{space 3}0.032{col 57}{space 4} .2782455{col 70}{space 3}  6.22389
{txt}{space 11}165  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}200  {c |}{col 17}{res}{space 2} 4.708724{col 29}{space 2} 1.170826{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} 2.413948{col 70}{space 3} 7.003501
{txt}{space 11}205  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}210  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}211  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}220  {c |}{col 17}{res}{space 2} 3.478785{col 29}{space 2} 1.196499{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4}  1.13369{col 70}{space 3}  5.82388
{txt}{space 11}225  {c |}{col 17}{res}{space 2} 2.033134{col 29}{space 2}  1.51349{col 40}{space 1}    1.34{col 49}{space 3}0.179{col 57}{space 4}-.9332524{col 70}{space 3} 4.999521
{txt}{space 11}230  {c |}{col 17}{res}{space 2} 2.591435{col 29}{space 2} 1.230866{col 40}{space 1}    2.11{col 49}{space 3}0.035{col 57}{space 4} .1789816{col 70}{space 3} 5.003889
{txt}{space 11}235  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}290  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}305  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}310  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}317  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}325  {c |}{col 17}{res}{space 2} 2.772318{col 29}{space 2} 1.290081{col 40}{space 1}    2.15{col 49}{space 3}0.032{col 57}{space 4} .2438069{col 70}{space 3}  5.30083
{txt}{space 11}339  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}343  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}344  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}345  {c |}{col 17}{res}{space 2} 1.630513{col 29}{space 2} 1.698861{col 40}{space 1}    0.96{col 49}{space 3}0.337{col 57}{space 4}-1.699194{col 70}{space 3}  4.96022
{txt}{space 11}346  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}349  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}350  {c |}{col 17}{res}{space 2} 1.840141{col 29}{space 2} 1.292309{col 40}{space 1}    1.42{col 49}{space 3}0.154{col 57}{space 4}-.6927373{col 70}{space 3}  4.37302
{txt}{space 11}352  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}355  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}359  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}910  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}920  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
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{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-11.84871{col 29}{space 2} 1.797528{col 40}{space 1}   -6.59{col 49}{space 3}0.000{col 57}{space 4}-15.37181{col 70}{space 3}-8.325624
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table22 , word label title(Table 22: Restrictions For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table22.rtf"'"':Table22.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table22.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode1, vce(cluster dyadid)

{txt}note: 100.ccode1 != 0 predicts failure perfectly
      100.ccode1 dropped and 6 obs not used

note: 155.ccode1 != 0 predicts success perfectly
      155.ccode1 dropped and 7 obs not used

note: 160.ccode1 != 0 predicts failure perfectly
      160.ccode1 dropped and 8 obs not used

note: 225.ccode1 != 0 predicts failure perfectly
      225.ccode1 dropped and 5 obs not used

note: 345.ccode1 != 0 predicts failure perfectly
      345.ccode1 dropped and 1 obs not used

note: 350.ccode1 != 0 predicts failure perfectly
      350.ccode1 dropped and 4 obs not used

note: 371.ccode1 != 0 predicts failure perfectly
      371.ccode1 dropped and 4 obs not used

note: 373.ccode1 != 0 predicts failure perfectly
      373.ccode1 dropped and 4 obs not used

note: 380.ccode1 != 0 predicts failure perfectly
      380.ccode1 dropped and 1 obs not used

note: 501.ccode1 != 0 predicts failure perfectly
      501.ccode1 dropped and 1 obs not used

note: 510.ccode1 != 0 predicts failure perfectly
      510.ccode1 dropped and 4 obs not used

note: 516.ccode1 != 0 predicts success perfectly
      516.ccode1 dropped and 5 obs not used

note: 651.ccode1 != 0 predicts failure perfectly
      651.ccode1 dropped and 6 obs not used

note: 652.ccode1 != 0 predicts success perfectly
      652.ccode1 dropped and 1 obs not used

note: 660.ccode1 != 0 predicts success perfectly
      660.ccode1 dropped and 1 obs not used

note: 690.ccode1 != 0 predicts success perfectly
      690.ccode1 dropped and 1 obs not used

note: 705.ccode1 != 0 predicts failure perfectly
      705.ccode1 dropped and 3 obs not used

note: 732.ccode1 != 0 predicts failure perfectly
      732.ccode1 dropped and 3 obs not used

note: 800.ccode1 != 0 predicts success perfectly
      800.ccode1 dropped and 1 obs not used

note: 820.ccode1 != 0 predicts success perfectly
      820.ccode1 dropped and 1 obs not used

note: 830.ccode1 != 0 predicts failure perfectly
      830.ccode1 dropped and 2 obs not used

note: 850.ccode1 != 0 predicts failure perfectly
      850.ccode1 dropped and 1 obs not used

note: 920.ccode1 != 0 predicts failure perfectly
      920.ccode1 dropped and 1 obs not used

note: 900.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-472.72444}  
Iteration 1:{space 3}log pseudolikelihood = {res:-417.87644}  
Iteration 2:{space 3}log pseudolikelihood = {res:-416.27215}  
Iteration 3:{space 3}log pseudolikelihood = {res: -416.2555}  
Iteration 4:{space 3}log pseudolikelihood = {res:-416.25547}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       749
{txt}{col 51}Wald chi2({res}30{txt}){col 67}= {res}     74.05
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-416.25547{txt}{col 51}Pseudo R2{col 67}= {res}    0.1195

{txt}{ralign 81:(Std. Err. adjusted for {res:189} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0107039{col 29}{space 2} .0060306{col 40}{space 1}    1.77{col 49}{space 3}0.076{col 57}{space 4}-.0011158{col 70}{space 3} .0225235
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4251348{col 29}{space 2} 1.150478{col 40}{space 1}    0.37{col 49}{space 3}0.712{col 57}{space 4}-1.829761{col 70}{space 3}  2.68003
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9558216{col 29}{space 2} 1.029598{col 40}{space 1}   -0.93{col 49}{space 3}0.353{col 57}{space 4}-2.973796{col 70}{space 3} 1.062153
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .5825169{col 29}{space 2} .2778617{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4}  .037918{col 70}{space 3} 1.127116
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.423073{col 29}{space 2} .4396076{col 40}{space 1}   -3.24{col 49}{space 3}0.001{col 57}{space 4}-2.284688{col 70}{space 3}-.5614582
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.062519{col 29}{space 2} .5948094{col 40}{space 1}    1.79{col 49}{space 3}0.074{col 57}{space 4}-.1032854{col 70}{space 3} 2.228324
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  .931938{col 29}{space 2} 20.09022{col 40}{space 1}    0.05{col 49}{space 3}0.963{col 57}{space 4}-38.44418{col 70}{space 3} 40.30805
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .4963347{col 29}{space 2} 1.269195{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4}-1.991242{col 70}{space 3} 2.983911
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.3891598{col 29}{space 2}  .209106{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4}    -.799{col 70}{space 3} .0206804
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .028695{col 29}{space 2} .0406979{col 40}{space 1}    0.71{col 49}{space 3}0.481{col 57}{space 4}-.0510714{col 70}{space 3} .1084614
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0579861{col 29}{space 2} .0430908{col 40}{space 1}    1.35{col 49}{space 3}0.178{col 57}{space 4}-.0264704{col 70}{space 3} .1424425
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0072801{col 29}{space 2} .3364615{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4}-.6667326{col 70}{space 3} .6521723
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1228997{col 29}{space 2} .1007986{col 40}{space 1}   -1.22{col 49}{space 3}0.223{col 57}{space 4}-.3204613{col 70}{space 3} .0746619
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .0287509{col 29}{space 2}  .541534{col 40}{space 1}    0.05{col 49}{space 3}0.958{col 57}{space 4}-1.032636{col 70}{space 3} 1.090138
{txt}{space 15} {c |}
{space 9}ccode1 {c |}
{space 12}20  {c |}{col 17}{res}{space 2}-.6617934{col 29}{space 2} 1.224933{col 40}{space 1}   -0.54{col 49}{space 3}0.589{col 57}{space 4}-3.062619{col 70}{space 3} 1.739032
{txt}{space 12}70  {c |}{col 17}{res}{space 2}-4.410862{col 29}{space 2} 2.385098{col 40}{space 1}   -1.85{col 49}{space 3}0.064{col 57}{space 4}-9.085568{col 70}{space 3}  .263843
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{txt}{space 11}155  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}160  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}220  {c |}{col 17}{res}{space 2}-.8428593{col 29}{space 2} 1.896906{col 40}{space 1}   -0.44{col 49}{space 3}0.657{col 57}{space 4}-4.560726{col 70}{space 3} 2.875007
{txt}{space 11}225  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}230  {c |}{col 17}{res}{space 2}-.5445469{col 29}{space 2} 1.883465{col 40}{space 1}   -0.29{col 49}{space 3}0.772{col 57}{space 4}-4.236071{col 70}{space 3} 3.146977
{txt}{space 11}325  {c |}{col 17}{res}{space 2} .8616455{col 29}{space 2} 1.922935{col 40}{space 1}    0.45{col 49}{space 3}0.654{col 57}{space 4}-2.907238{col 70}{space 3} 4.630529
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{space 11}350  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{space 11}373  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}380  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}475  {c |}{col 17}{res}{space 2} 1.448184{col 29}{space 2} 1.951709{col 40}{space 1}    0.74{col 49}{space 3}0.458{col 57}{space 4}-2.377096{col 70}{space 3} 5.273463
{txt}{space 11}501  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}510  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}516  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}630  {c |}{col 17}{res}{space 2}-5.898593{col 29}{space 2} 3.575036{col 40}{space 1}   -1.65{col 49}{space 3}0.099{col 57}{space 4}-12.90553{col 70}{space 3} 1.108348
{txt}{space 11}640  {c |}{col 17}{res}{space 2} -3.44288{col 29}{space 2} 8.356482{col 40}{space 1}   -0.41{col 49}{space 3}0.680{col 57}{space 4}-19.82128{col 70}{space 3} 12.93552
{txt}{space 11}651  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}652  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}660  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}666  {c |}{col 17}{res}{space 2}-1.161307{col 29}{space 2} 2.092222{col 40}{space 1}   -0.56{col 49}{space 3}0.579{col 57}{space 4}-5.261986{col 70}{space 3} 2.939372
{txt}{space 11}670  {c |}{col 17}{res}{space 2} -8.37929{col 29}{space 2} 4.392573{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4}-16.98857{col 70}{space 3} .2299954
{txt}{space 11}690  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}705  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}710  {c |}{col 17}{res}{space 2}-6.693856{col 29}{space 2} 3.794456{col 40}{space 1}   -1.76{col 49}{space 3}0.078{col 57}{space 4}-14.13085{col 70}{space 3} .7431417
{txt}{space 11}732  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}740  {c |}{col 17}{res}{space 2} 1.295828{col 29}{space 2}  1.66145{col 40}{space 1}    0.78{col 49}{space 3}0.435{col 57}{space 4}-1.960553{col 70}{space 3}  4.55221
{txt}{space 11}750  {c |}{col 17}{res}{space 2}-1.797011{col 29}{space 2} 1.715588{col 40}{space 1}   -1.05{col 49}{space 3}0.295{col 57}{space 4}-5.159502{col 70}{space 3} 1.565479
{txt}{space 11}800  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}820  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}830  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}850  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}900  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 11}920  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-.9658498{col 29}{space 2} 3.074855{col 40}{space 1}   -0.31{col 49}{space 3}0.753{col 57}{space 4}-6.992454{col 70}{space 3} 5.060755
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table22 , word label title(Table 22: Restrictions For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table22.rtf"'"':Table22.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table22.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode2, iterate(10) cluster(dyadid)

{txt}note: 51.ccode2 != 0 predicts failure perfectly
      51.ccode2 dropped and 3621 obs not used

note: 52.ccode2 != 0 predicts failure perfectly
      52.ccode2 dropped and 3622 obs not used

note: 110.ccode2 != 0 predicts failure perfectly
      110.ccode2 dropped and 3617 obs not used

note: 310.ccode2 != 0 predicts failure perfectly
      310.ccode2 dropped and 3622 obs not used

note: 317.ccode2 != 0 predicts failure perfectly
      317.ccode2 dropped and 1045 obs not used

note: 344.ccode2 != 0 predicts failure perfectly
      344.ccode2 dropped and 1174 obs not used

note: 349.ccode2 != 0 predicts failure perfectly
      349.ccode2 dropped and 1174 obs not used

note: 352.ccode2 != 0 predicts failure perfectly
      352.ccode2 dropped and 3622 obs not used

note: 355.ccode2 != 0 predicts failure perfectly
      355.ccode2 dropped and 3622 obs not used

note: 359.ccode2 != 0 predicts failure perfectly
      359.ccode2 dropped and 1283 obs not used

note: 372.ccode2 != 0 predicts failure perfectly
      372.ccode2 dropped and 1286 obs not used

note: 432.ccode2 != 0 predicts failure perfectly
      432.ccode2 dropped and 3624 obs not used

note: 433.ccode2 != 0 predicts failure perfectly
      433.ccode2 dropped and 3624 obs not used

note: 434.ccode2 != 0 predicts failure perfectly
      434.ccode2 dropped and 3624 obs not used

note: 435.ccode2 != 0 predicts failure perfectly
      435.ccode2 dropped and 3624 obs not used

note: 436.ccode2 != 0 predicts failure perfectly
      436.ccode2 dropped and 3623 obs not used

note: 451.ccode2 != 0 predicts failure perfectly
      451.ccode2 dropped and 3623 obs not used

note: 452.ccode2 != 0 predicts failure perfectly
      452.ccode2 dropped and 3623 obs not used

note: 471.ccode2 != 0 predicts failure perfectly
      471.ccode2 dropped and 3623 obs not used

note: 482.ccode2 != 0 predicts failure perfectly
      482.ccode2 dropped and 3623 obs not used

note: 483.ccode2 != 0 predicts failure perfectly
      483.ccode2 dropped and 3624 obs not used

note: 484.ccode2 != 0 predicts failure perfectly
      484.ccode2 dropped and 3623 obs not used

note: 501.ccode2 != 0 predicts failure perfectly
      501.ccode2 dropped and 3623 obs not used

note: 510.ccode2 != 0 predicts failure perfectly
      510.ccode2 dropped and 3623 obs not used

note: 540.ccode2 != 0 predicts failure perfectly
      540.ccode2 dropped and 3011 obs not used

note: 541.ccode2 != 0 predicts failure perfectly
      541.ccode2 dropped and 3083 obs not used

note: 551.ccode2 != 0 predicts failure perfectly
      551.ccode2 dropped and 3623 obs not used

note: 553.ccode2 != 0 predicts failure perfectly
      553.ccode2 dropped and 3623 obs not used

note: 565.ccode2 != 0 predicts failure perfectly
      565.ccode2 dropped and 1412 obs not used

note: 570.ccode2 != 0 predicts failure perfectly
      570.ccode2 dropped and 3623 obs not used

note: 571.ccode2 != 0 predicts failure perfectly
      571.ccode2 dropped and 3618 obs not used

note: 572.ccode2 != 0 predicts failure perfectly
      572.ccode2 dropped and 3623 obs not used

note: 580.ccode2 != 0 predicts failure perfectly
      580.ccode2 dropped and 3623 obs not used

note: 590.ccode2 != 0 predicts failure perfectly
      590.ccode2 dropped and 3623 obs not used

note: 616.ccode2 != 0 predicts failure perfectly
      616.ccode2 dropped and 3624 obs not used

note: 694.ccode2 != 0 predicts failure perfectly
      694.ccode2 dropped and 3519 obs not used

note: 696.ccode2 != 0 predicts failure perfectly
      696.ccode2 dropped and 3519 obs not used

note: 698.ccode2 != 0 predicts failure perfectly
      698.ccode2 dropped and 3514 obs not used

note: 702.ccode2 != 0 predicts failure perfectly
      702.ccode2 dropped and 1282 obs not used

note: 705.ccode2 != 0 predicts failure perfectly
      705.ccode2 dropped and 1283 obs not used

note: 712.ccode2 != 0 predicts failure perfectly
      712.ccode2 dropped and 3622 obs not used

note: 780.ccode2 != 0 predicts failure perfectly
      780.ccode2 dropped and 393 obs not used

note: 910.ccode2 != 0 predicts failure perfectly
      910.ccode2 dropped and 3083 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5652.9113}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3917.2886}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3577.0117}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2947.1219}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2902.3979}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2899.7789}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2899.7739}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2899.7739}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    297889
{txt}{col 51}Wald chi2({res}106{txt}){col 67}= {res}   3081.68
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2899.7739{txt}{col 51}Pseudo R2{col 67}= {res}    0.4870

{txt}{ralign 81:(Std. Err. adjusted for {res:11879} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0216385{col 29}{space 2} .0049615{col 40}{space 1}    4.36{col 49}{space 3}0.000{col 57}{space 4} .0119141{col 70}{space 3} .0313629
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .0724516{col 29}{space 2} .4306413{col 40}{space 1}    0.17{col 49}{space 3}0.866{col 57}{space 4}-.7715898{col 70}{space 3}  .916493
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} -.468806{col 29}{space 2}  .412698{col 40}{space 1}   -1.14{col 49}{space 3}0.256{col 57}{space 4}-1.277679{col 70}{space 3} .3400672
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0306134{col 29}{space 2} .1816467{col 40}{space 1}   -0.17{col 49}{space 3}0.866{col 57}{space 4}-.3866344{col 70}{space 3} .3254077
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5896433{col 29}{space 2}  .354203{col 40}{space 1}   -1.66{col 49}{space 3}0.096{col 57}{space 4}-1.283868{col 70}{space 3} .1045818
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.190994{col 29}{space 2} .3950803{col 40}{space 1}    5.55{col 49}{space 3}0.000{col 57}{space 4}  1.41665{col 70}{space 3} 2.965337
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.85998{col 29}{space 2} 5.786959{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4}  6.51775{col 70}{space 3} 29.20221
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 2.175568{col 29}{space 2} .3478152{col 40}{space 1}    6.25{col 49}{space 3}0.000{col 57}{space 4} 1.493863{col 70}{space 3} 2.857273
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0293814{col 29}{space 2} .0182367{col 40}{space 1}   -1.61{col 49}{space 3}0.107{col 57}{space 4}-.0651246{col 70}{space 3} .0063619
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0045002{col 29}{space 2} .0259156{col 40}{space 1}    0.17{col 49}{space 3}0.862{col 57}{space 4}-.0462936{col 70}{space 3} .0552939
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0142193{col 29}{space 2} .0238578{col 40}{space 1}   -0.60{col 49}{space 3}0.551{col 57}{space 4}-.0609798{col 70}{space 3} .0325412
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5090561{col 29}{space 2} .2688487{col 40}{space 1}    1.89{col 49}{space 3}0.058{col 57}{space 4}-.0178777{col 70}{space 3}  1.03599
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} .6798207{col 29}{space 2} .0729955{col 40}{space 1}    9.31{col 49}{space 3}0.000{col 57}{space 4} .5367522{col 70}{space 3} .8228892
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.818691{col 29}{space 2} .6795193{col 40}{space 1}    2.68{col 49}{space 3}0.007{col 57}{space 4} .4868574{col 70}{space 3} 3.150524
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5586324{col 29}{space 2} .0583052{col 40}{space 1}   -9.58{col 49}{space 3}0.000{col 57}{space 4}-.6729084{col 70}{space 3}-.4443563
{txt}threat_years2_i {c |}{col 17}{res}{space 2}  .037504{col 29}{space 2} .0046321{col 40}{space 1}    8.10{col 49}{space 3}0.000{col 57}{space 4} .0284254{col 70}{space 3} .0465827
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0007366{col 29}{space 2} .0000999{col 40}{space 1}   -7.37{col 49}{space 3}0.000{col 57}{space 4}-.0009325{col 70}{space 3}-.0005408
{txt}{space 15} {c |}
{space 9}ccode2 {c |}
{space 12}20  {c |}{col 17}{res}{space 2}-3.493565{col 29}{space 2} .5027623{col 40}{space 1}   -6.95{col 49}{space 3}0.000{col 57}{space 4}-4.478961{col 70}{space 3}-2.508169
{txt}{space 12}41  {c |}{col 17}{res}{space 2}-6.171508{col 29}{space 2} .6828906{col 40}{space 1}   -9.04{col 49}{space 3}0.000{col 57}{space 4}-7.509949{col 70}{space 3}-4.833067
{txt}{space 12}42  {c |}{col 17}{res}{space 2}-7.089585{col 29}{space 2} .6660523{col 40}{space 1}  -10.64{col 49}{space 3}0.000{col 57}{space 4}-8.395024{col 70}{space 3}-5.784147
{txt}{space 12}51  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}52  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}70  {c |}{col 17}{res}{space 2}-2.982731{col 29}{space 2} .5576442{col 40}{space 1}   -5.35{col 49}{space 3}0.000{col 57}{space 4}-4.075693{col 70}{space 3}-1.889768
{txt}{space 12}90  {c |}{col 17}{res}{space 2}-5.374983{col 29}{space 2} .6504231{col 40}{space 1}   -8.26{col 49}{space 3}0.000{col 57}{space 4}-6.649789{col 70}{space 3}-4.100178
{txt}{space 12}91  {c |}{col 17}{res}{space 2}-6.705396{col 29}{space 2} .7112206{col 40}{space 1}   -9.43{col 49}{space 3}0.000{col 57}{space 4}-8.099363{col 70}{space 3}-5.311429
{txt}{space 12}92  {c |}{col 17}{res}{space 2}-5.605076{col 29}{space 2} .6641261{col 40}{space 1}   -8.44{col 49}{space 3}0.000{col 57}{space 4}-6.906739{col 70}{space 3}-4.303412
{txt}{space 12}93  {c |}{col 17}{res}{space 2}-4.830329{col 29}{space 2} .7152292{col 40}{space 1}   -6.75{col 49}{space 3}0.000{col 57}{space 4}-6.232152{col 70}{space 3}-3.428505
{txt}{space 12}94  {c |}{col 17}{res}{space 2}-5.891448{col 29}{space 2} .7297712{col 40}{space 1}   -8.07{col 49}{space 3}0.000{col 57}{space 4}-7.321773{col 70}{space 3}-4.461122
{txt}{space 12}95  {c |}{col 17}{res}{space 2}-5.264597{col 29}{space 2} .7108094{col 40}{space 1}   -7.41{col 49}{space 3}0.000{col 57}{space 4}-6.657758{col 70}{space 3}-3.871436
{txt}{space 11}100  {c |}{col 17}{res}{space 2}-4.208632{col 29}{space 2} .5663146{col 40}{space 1}   -7.43{col 49}{space 3}0.000{col 57}{space 4}-5.318589{col 70}{space 3}-3.098676
{txt}{space 11}101  {c |}{col 17}{res}{space 2} -3.49149{col 29}{space 2} .5579192{col 40}{space 1}   -6.26{col 49}{space 3}0.000{col 57}{space 4}-4.584992{col 70}{space 3}-2.397988
{txt}{space 11}110  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}130  {c |}{col 17}{res}{space 2}-4.205569{col 29}{space 2} .6780664{col 40}{space 1}   -6.20{col 49}{space 3}0.000{col 57}{space 4}-5.534554{col 70}{space 3}-2.876583
{txt}{space 11}135  {c |}{col 17}{res}{space 2}-5.122118{col 29}{space 2} .6097883{col 40}{space 1}   -8.40{col 49}{space 3}0.000{col 57}{space 4}-6.317281{col 70}{space 3}-3.926955
{txt}{space 11}140  {c |}{col 17}{res}{space 2}-2.032259{col 29}{space 2} .5139817{col 40}{space 1}   -3.95{col 49}{space 3}0.000{col 57}{space 4}-3.039645{col 70}{space 3}-1.024873
{txt}{space 11}145  {c |}{col 17}{res}{space 2}-5.750455{col 29}{space 2} .6058444{col 40}{space 1}   -9.49{col 49}{space 3}0.000{col 57}{space 4}-6.937888{col 70}{space 3}-4.563022
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-6.093791{col 29}{space 2}  .653935{col 40}{space 1}   -9.32{col 49}{space 3}0.000{col 57}{space 4} -7.37548{col 70}{space 3}-4.812102
{txt}{space 11}155  {c |}{col 17}{res}{space 2}-4.438296{col 29}{space 2} .9416568{col 40}{space 1}   -4.71{col 49}{space 3}0.000{col 57}{space 4}-6.283909{col 70}{space 3}-2.592682
{txt}{space 11}160  {c |}{col 17}{res}{space 2}-3.006001{col 29}{space 2} .7543982{col 40}{space 1}   -3.98{col 49}{space 3}0.000{col 57}{space 4}-4.484595{col 70}{space 3}-1.527408
{txt}{space 11}165  {c |}{col 17}{res}{space 2}-6.581675{col 29}{space 2} .6111059{col 40}{space 1}  -10.77{col 49}{space 3}0.000{col 57}{space 4}-7.779421{col 70}{space 3} -5.38393
{txt}{space 11}200  {c |}{col 17}{res}{space 2}-2.760721{col 29}{space 2} .8222568{col 40}{space 1}   -3.36{col 49}{space 3}0.001{col 57}{space 4}-4.372315{col 70}{space 3}-1.149128
{txt}{space 11}205  {c |}{col 17}{res}{space 2}-6.979642{col 29}{space 2} 1.252871{col 40}{space 1}   -5.57{col 49}{space 3}0.000{col 57}{space 4}-9.435225{col 70}{space 3} -4.52406
{txt}{space 11}210  {c |}{col 17}{res}{space 2}-5.570651{col 29}{space 2} .8253419{col 40}{space 1}   -6.75{col 49}{space 3}0.000{col 57}{space 4}-7.188292{col 70}{space 3}-3.953011
{txt}{space 11}211  {c |}{col 17}{res}{space 2}-6.195942{col 29}{space 2}  .690123{col 40}{space 1}   -8.98{col 49}{space 3}0.000{col 57}{space 4}-7.548559{col 70}{space 3}-4.843326
{txt}{space 11}220  {c |}{col 17}{res}{space 2}-3.826463{col 29}{space 2} .5789181{col 40}{space 1}   -6.61{col 49}{space 3}0.000{col 57}{space 4}-4.961122{col 70}{space 3}-2.691805
{txt}{space 11}225  {c |}{col 17}{res}{space 2} -7.40494{col 29}{space 2} .7848478{col 40}{space 1}   -9.43{col 49}{space 3}0.000{col 57}{space 4}-8.943213{col 70}{space 3}-5.866667
{txt}{space 11}230  {c |}{col 17}{res}{space 2}-4.348531{col 29}{space 2} .4768528{col 40}{space 1}   -9.12{col 49}{space 3}0.000{col 57}{space 4}-5.283146{col 70}{space 3}-3.413917
{txt}{space 11}235  {c |}{col 17}{res}{space 2}-6.255075{col 29}{space 2} .7798948{col 40}{space 1}   -8.02{col 49}{space 3}0.000{col 57}{space 4}-7.783641{col 70}{space 3}-4.726509
{txt}{space 11}290  {c |}{col 17}{res}{space 2} -3.81884{col 29}{space 2}  .566055{col 40}{space 1}   -6.75{col 49}{space 3}0.000{col 57}{space 4}-4.928287{col 70}{space 3}-2.709392
{txt}{space 11}305  {c |}{col 17}{res}{space 2}-5.840113{col 29}{space 2} .6497533{col 40}{space 1}   -8.99{col 49}{space 3}0.000{col 57}{space 4}-7.113606{col 70}{space 3} -4.56662
{txt}{space 11}310  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}317  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}325  {c |}{col 17}{res}{space 2}-3.756613{col 29}{space 2} .6006827{col 40}{space 1}   -6.25{col 49}{space 3}0.000{col 57}{space 4}-4.933929{col 70}{space 3}-2.579296
{txt}{space 11}339  {c |}{col 17}{res}{space 2}-3.593881{col 29}{space 2} .9545555{col 40}{space 1}   -3.76{col 49}{space 3}0.000{col 57}{space 4}-5.464775{col 70}{space 3}-1.722986
{txt}{space 11}343  {c |}{col 17}{res}{space 2}-6.241899{col 29}{space 2} 1.365122{col 40}{space 1}   -4.57{col 49}{space 3}0.000{col 57}{space 4}-8.917488{col 70}{space 3}-3.566309
{txt}{space 11}344  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}345  {c |}{col 17}{res}{space 2}-4.587834{col 29}{space 2} 1.080136{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-6.704863{col 70}{space 3}-2.470806
{txt}{space 11}346  {c |}{col 17}{res}{space 2}-4.780522{col 29}{space 2} 1.409514{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-7.543118{col 70}{space 3}-2.017926
{txt}{space 11}349  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}350  {c |}{col 17}{res}{space 2}-6.734086{col 29}{space 2} 1.271279{col 40}{space 1}   -5.30{col 49}{space 3}0.000{col 57}{space 4}-9.225747{col 70}{space 3}-4.242425
{txt}{space 11}352  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}355  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}359  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}365  {c |}{col 17}{res}{space 2}-1.678777{col 29}{space 2} .7121555{col 40}{space 1}   -2.36{col 49}{space 3}0.018{col 57}{space 4}-3.074576{col 70}{space 3}-.2829775
{txt}{space 11}366  {c |}{col 17}{res}{space 2}-5.661175{col 29}{space 2} 1.385353{col 40}{space 1}   -4.09{col 49}{space 3}0.000{col 57}{space 4}-8.376418{col 70}{space 3}-2.945932
{txt}{space 11}367  {c |}{col 17}{res}{space 2}-6.455575{col 29}{space 2} 1.219762{col 40}{space 1}   -5.29{col 49}{space 3}0.000{col 57}{space 4}-8.846266{col 70}{space 3}-4.064885
{txt}{space 11}368  {c |}{col 17}{res}{space 2}-6.361187{col 29}{space 2} 1.216646{col 40}{space 1}   -5.23{col 49}{space 3}0.000{col 57}{space 4}-8.745769{col 70}{space 3}-3.976605
{txt}{space 11}369  {c |}{col 17}{res}{space 2}-3.031085{col 29}{space 2} .6831723{col 40}{space 1}   -4.44{col 49}{space 3}0.000{col 57}{space 4}-4.370078{col 70}{space 3}-1.692091
{txt}{space 11}371  {c |}{col 17}{res}{space 2}-4.528492{col 29}{space 2} 1.442699{col 40}{space 1}   -3.14{col 49}{space 3}0.002{col 57}{space 4} -7.35613{col 70}{space 3}-1.700854
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-10.19723{col 29}{space 2} 1.378736{col 40}{space 1}   -7.40{col 49}{space 3}0.000{col 57}{space 4} -12.8995{col 70}{space 3}-7.494956
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table22 , word label title(Table 22: Restrictions For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table22.rtf"'"':Table22.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table22.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode2, vce(cluster dyadid)

{txt}note: 41.ccode2 != 0 predicts failure perfectly
      41.ccode2 dropped and 5 obs not used

note: 42.ccode2 != 0 predicts failure perfectly
      42.ccode2 dropped and 1 obs not used

note: 92.ccode2 != 0 predicts failure perfectly
      92.ccode2 dropped and 6 obs not used

note: 94.ccode2 != 0 predicts failure perfectly
      94.ccode2 dropped and 6 obs not used

note: 101.ccode2 != 0 predicts failure perfectly
      101.ccode2 dropped and 11 obs not used

note: 135.ccode2 != 0 predicts success perfectly
      135.ccode2 dropped and 8 obs not used

note: 150.ccode2 != 0 predicts success perfectly
      150.ccode2 dropped and 7 obs not used

note: 165.ccode2 != 0 predicts failure perfectly
      165.ccode2 dropped and 5 obs not used

note: 205.ccode2 != 0 predicts failure perfectly
      205.ccode2 dropped and 3 obs not used

note: 211.ccode2 != 0 predicts failure perfectly
      211.ccode2 dropped and 4 obs not used

note: 290.ccode2 != 0 predicts failure perfectly
      290.ccode2 dropped and 7 obs not used

note: 339.ccode2 != 0 predicts failure perfectly
      339.ccode2 dropped and 9 obs not used

note: 343.ccode2 != 0 predicts failure perfectly
      343.ccode2 dropped and 2 obs not used

note: 346.ccode2 != 0 predicts failure perfectly
      346.ccode2 dropped and 1 obs not used

note: 350.ccode2 != 0 predicts failure perfectly
      350.ccode2 dropped and 2 obs not used

note: 367.ccode2 != 0 predicts success perfectly
      367.ccode2 dropped and 1 obs not used

note: 368.ccode2 != 0 predicts success perfectly
      368.ccode2 dropped and 1 obs not used

note: 371.ccode2 != 0 predicts failure perfectly
      371.ccode2 dropped and 4 obs not used

note: 373.ccode2 != 0 predicts failure perfectly
      373.ccode2 dropped and 4 obs not used

note: 375.ccode2 != 0 predicts failure perfectly
      375.ccode2 dropped and 1 obs not used

note: 380.ccode2 != 0 predicts failure perfectly
      380.ccode2 dropped and 3 obs not used

note: 420.ccode2 != 0 predicts success perfectly
      420.ccode2 dropped and 1 obs not used

note: 437.ccode2 != 0 predicts success perfectly
      437.ccode2 dropped and 1 obs not used

note: 439.ccode2 != 0 predicts success perfectly
      439.ccode2 dropped and 2 obs not used

note: 461.ccode2 != 0 predicts success perfectly
      461.ccode2 dropped and 1 obs not used

note: 475.ccode2 != 0 predicts failure perfectly
      475.ccode2 dropped and 7 obs not used

note: 481.ccode2 != 0 predicts success perfectly
      481.ccode2 dropped and 1 obs not used

note: 500.ccode2 != 0 predicts failure perfectly
      500.ccode2 dropped and 8 obs not used

note: 517.ccode2 != 0 predicts success perfectly
      517.ccode2 dropped and 1 obs not used

note: 552.ccode2 != 0 predicts failure perfectly
      552.ccode2 dropped and 5 obs not used

note: 600.ccode2 != 0 predicts success perfectly
      600.ccode2 dropped and 2 obs not used

note: 615.ccode2 != 0 predicts success perfectly
      615.ccode2 dropped and 1 obs not used

note: 663.ccode2 != 0 predicts success perfectly
      663.ccode2 dropped and 5 obs not used

note: 690.ccode2 != 0 predicts success perfectly
      690.ccode2 dropped and 1 obs not used

note: 692.ccode2 != 0 predicts success perfectly
      692.ccode2 dropped and 1 obs not used

note: 703.ccode2 != 0 predicts failure perfectly
      703.ccode2 dropped and 1 obs not used

note: 771.ccode2 != 0 predicts success perfectly
      771.ccode2 dropped and 4 obs not used

note: 775.ccode2 != 0 predicts failure perfectly
      775.ccode2 dropped and 3 obs not used

note: 790.ccode2 != 0 predicts failure perfectly
      790.ccode2 dropped and 2 obs not used

note: 811.ccode2 != 0 predicts failure perfectly
      811.ccode2 dropped and 9 obs not used

note: 816.ccode2 != 0 predicts failure perfectly
      816.ccode2 dropped and 33 obs not used

note: 840.ccode2 != 0 predicts success perfectly
      840.ccode2 dropped and 1 obs not used

note: 950.ccode2 != 0 predicts failure perfectly
      950.ccode2 dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-411.40339}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.16647}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.49943}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.44691}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.44669}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.44669}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       636
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(50)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-341.44669{txt}{col 51}Pseudo R2{col 67}= {res}    0.1700

{txt}{ralign 81:(Std. Err. adjusted for {res:170} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0004598{col 29}{space 2} .0088882{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-.0169607{col 70}{space 3} .0178803
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} 1.204473{col 29}{space 2} 1.133708{col 40}{space 1}    1.06{col 49}{space 3}0.288{col 57}{space 4}-1.017553{col 70}{space 3} 3.426499
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-3.778357{col 29}{space 2}  1.61158{col 40}{space 1}   -2.34{col 49}{space 3}0.019{col 57}{space 4}-6.936996{col 70}{space 3} -.619718
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .4088851{col 29}{space 2} .3480336{col 40}{space 1}    1.17{col 49}{space 3}0.240{col 57}{space 4}-.2732483{col 70}{space 3} 1.091019
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2} .0699519{col 29}{space 2} .6602263{col 40}{space 1}    0.11{col 49}{space 3}0.916{col 57}{space 4}-1.224068{col 70}{space 3} 1.363972
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6377631{col 29}{space 2} .9808152{col 40}{space 1}    0.65{col 49}{space 3}0.516{col 57}{space 4}-1.284599{col 70}{space 3} 2.560125
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-16.94572{col 29}{space 2} 15.77381{col 40}{space 1}   -1.07{col 49}{space 3}0.283{col 57}{space 4}-47.86181{col 70}{space 3} 13.97037
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.719966{col 29}{space 2} .8078824{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} .1365454{col 70}{space 3} 3.303386
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0504608{col 29}{space 2} .0524475{col 40}{space 1}   -0.96{col 49}{space 3}0.336{col 57}{space 4}-.1532559{col 70}{space 3} .0523344
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0271557{col 29}{space 2} .0574392{col 40}{space 1}    0.47{col 49}{space 3}0.636{col 57}{space 4}-.0854231{col 70}{space 3} .1397344
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0427777{col 29}{space 2} .0540349{col 40}{space 1}    0.79{col 49}{space 3}0.429{col 57}{space 4}-.0631288{col 70}{space 3} .1486843
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.2910008{col 29}{space 2} .4198947{col 40}{space 1}   -0.69{col 49}{space 3}0.488{col 57}{space 4}-1.113979{col 70}{space 3} .5319776
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1381731{col 29}{space 2} .1950998{col 40}{space 1}   -0.71{col 49}{space 3}0.479{col 57}{space 4}-.5205618{col 70}{space 3} .2442155
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .4975881{col 29}{space 2} .8671019{col 40}{space 1}    0.57{col 49}{space 3}0.566{col 57}{space 4}  -1.2019{col 70}{space 3} 2.197077
{txt}{space 15} {c |}
{space 9}ccode2 {c |}
{space 12}20  {c |}{col 17}{res}{space 2}-.0303673{col 29}{space 2} .8271368{col 40}{space 1}   -0.04{col 49}{space 3}0.971{col 57}{space 4}-1.651526{col 70}{space 3} 1.590791
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{space 15} {c |}
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{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table22 , word label title(Table 22: Restrictions For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table22.rtf"'"':Table22.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table22.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 23****
. *Model 1*
. logit threat FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode1, iterate(10) cluster(dyadid)

{txt}note: 41.ccode1 != 0 predicts failure perfectly
      41.ccode1 dropped and 2868 obs not used

note: 42.ccode1 != 0 predicts failure perfectly
      42.ccode1 dropped and 3625 obs not used

note: 51.ccode1 != 0 predicts failure perfectly
      51.ccode1 dropped and 3625 obs not used

note: 52.ccode1 != 0 predicts failure perfectly
      52.ccode1 dropped and 3625 obs not used

note: 90.ccode1 != 0 predicts failure perfectly
      90.ccode1 dropped and 3625 obs not used

note: 91.ccode1 != 0 predicts failure perfectly
      91.ccode1 dropped and 3625 obs not used

note: 92.ccode1 != 0 predicts failure perfectly
      92.ccode1 dropped and 3625 obs not used

note: 93.ccode1 != 0 predicts failure perfectly
      93.ccode1 dropped and 3625 obs not used

note: 94.ccode1 != 0 predicts failure perfectly
      94.ccode1 dropped and 3625 obs not used

note: 95.ccode1 != 0 predicts failure perfectly
      95.ccode1 dropped and 3625 obs not used

note: 101.ccode1 != 0 predicts failure perfectly
      101.ccode1 dropped and 3625 obs not used

note: 110.ccode1 != 0 predicts failure perfectly
      110.ccode1 dropped and 3625 obs not used

note: 130.ccode1 != 0 predicts failure perfectly
      130.ccode1 dropped and 3625 obs not used

note: 135.ccode1 != 0 predicts failure perfectly
      135.ccode1 dropped and 3625 obs not used

note: 145.ccode1 != 0 predicts failure perfectly
      145.ccode1 dropped and 3625 obs not used

note: 150.ccode1 != 0 predicts failure perfectly
      150.ccode1 dropped and 3625 obs not used

note: 165.ccode1 != 0 predicts failure perfectly
      165.ccode1 dropped and 3625 obs not used

note: 205.ccode1 != 0 predicts failure perfectly
      205.ccode1 dropped and 3625 obs not used

note: 210.ccode1 != 0 predicts failure perfectly
      210.ccode1 dropped and 3002 obs not used

note: 211.ccode1 != 0 predicts failure perfectly
      211.ccode1 dropped and 3625 obs not used

note: 225.ccode1 != 0 predicts failure perfectly
      225.ccode1 dropped and 723 obs not used

note: 235.ccode1 != 0 predicts failure perfectly
      235.ccode1 dropped and 3625 obs not used

note: 290.ccode1 != 0 predicts failure perfectly
      290.ccode1 dropped and 1935 obs not used

note: 305.ccode1 != 0 predicts failure perfectly
      305.ccode1 dropped and 3625 obs not used

note: 310.ccode1 != 0 predicts failure perfectly
      310.ccode1 dropped and 1935 obs not used

note: 317.ccode1 != 0 predicts failure perfectly
      317.ccode1 dropped and 723 obs not used

note: 339.ccode1 != 0 predicts failure perfectly
      339.ccode1 dropped and 847 obs not used

note: 343.ccode1 != 0 predicts failure perfectly
      343.ccode1 dropped and 582 obs not used

note: 344.ccode1 != 0 predicts failure perfectly
      344.ccode1 dropped and 723 obs not used

note: 349.ccode1 != 0 predicts failure perfectly
      349.ccode1 dropped and 723 obs not used

note: 352.ccode1 != 0 predicts failure perfectly
      352.ccode1 dropped and 3625 obs not used

note: 355.ccode1 != 0 predicts failure perfectly
      355.ccode1 dropped and 971 obs not used

note: 359.ccode1 != 0 predicts failure perfectly
      359.ccode1 dropped and 723 obs not used

note: 366.ccode1 != 0 predicts failure perfectly
      366.ccode1 dropped and 723 obs not used

note: 367.ccode1 != 0 predicts failure perfectly
      367.ccode1 dropped and 723 obs not used

note: 368.ccode1 != 0 predicts failure perfectly
      368.ccode1 dropped and 723 obs not used

note: 369.ccode1 != 0 predicts failure perfectly
      369.ccode1 dropped and 723 obs not used

note: 370.ccode1 != 0 predicts failure perfectly
      370.ccode1 dropped and 723 obs not used

note: 371.ccode1 != 0 predicts failure perfectly
      371.ccode1 dropped and 723 obs not used

note: 372.ccode1 != 0 predicts failure perfectly
      372.ccode1 dropped and 723 obs not used

note: 373.ccode1 != 0 predicts failure perfectly
      373.ccode1 dropped and 723 obs not used

note: 375.ccode1 != 0 predicts failure perfectly
      375.ccode1 dropped and 3625 obs not used

note: 385.ccode1 != 0 predicts failure perfectly
      385.ccode1 dropped and 3625 obs not used

note: 390.ccode1 != 0 predicts failure perfectly
      390.ccode1 dropped and 3625 obs not used

note: 404.ccode1 != 0 predicts failure perfectly
      404.ccode1 dropped and 2505 obs not used

note: 411.ccode1 != 0 predicts failure perfectly
      411.ccode1 dropped and 3332 obs not used

note: 420.ccode1 != 0 predicts failure perfectly
      420.ccode1 dropped and 3529 obs not used

note: 432.ccode1 != 0 predicts failure perfectly
      432.ccode1 dropped and 3625 obs not used

note: 433.ccode1 != 0 predicts failure perfectly
      433.ccode1 dropped and 3625 obs not used

note: 434.ccode1 != 0 predicts failure perfectly
      434.ccode1 dropped and 2717 obs not used

note: 435.ccode1 != 0 predicts failure perfectly
      435.ccode1 dropped and 3625 obs not used

note: 436.ccode1 != 0 predicts failure perfectly
      436.ccode1 dropped and 3625 obs not used

note: 437.ccode1 != 0 predicts failure perfectly
      437.ccode1 dropped and 3625 obs not used

note: 438.ccode1 != 0 predicts failure perfectly
      438.ccode1 dropped and 3625 obs not used

note: 439.ccode1 != 0 predicts failure perfectly
      439.ccode1 dropped and 1697 obs not used

note: 450.ccode1 != 0 predicts failure perfectly
      450.ccode1 dropped and 3625 obs not used

note: 451.ccode1 != 0 predicts failure perfectly
      451.ccode1 dropped and 3625 obs not used

note: 452.ccode1 != 0 predicts failure perfectly
      452.ccode1 dropped and 3625 obs not used

note: 461.ccode1 != 0 predicts failure perfectly
      461.ccode1 dropped and 3625 obs not used

note: 471.ccode1 != 0 predicts failure perfectly
      471.ccode1 dropped and 3625 obs not used

note: 481.ccode1 != 0 predicts failure perfectly
      481.ccode1 dropped and 3625 obs not used

note: 482.ccode1 != 0 predicts failure perfectly
      482.ccode1 dropped and 3625 obs not used

note: 483.ccode1 != 0 predicts failure perfectly
      483.ccode1 dropped and 3625 obs not used

note: 484.ccode1 != 0 predicts failure perfectly
      484.ccode1 dropped and 3625 obs not used

note: 500.ccode1 != 0 predicts failure perfectly
      500.ccode1 dropped and 3520 obs not used

note: 517.ccode1 != 0 predicts failure perfectly
      517.ccode1 dropped and 3625 obs not used

note: 520.ccode1 != 0 predicts failure perfectly
      520.ccode1 dropped and 2926 obs not used

note: 522.ccode1 != 0 predicts failure perfectly
      522.ccode1 dropped and 2394 obs not used

note: 531.ccode1 != 0 predicts failure perfectly
      531.ccode1 dropped and 438 obs not used

note: 540.ccode1 != 0 predicts failure perfectly
      540.ccode1 dropped and 1093 obs not used

note: 541.ccode1 != 0 predicts failure perfectly
      541.ccode1 dropped and 1697 obs not used

note: 551.ccode1 != 0 predicts failure perfectly
      551.ccode1 dropped and 3625 obs not used

note: 552.ccode1 != 0 predicts failure perfectly
      552.ccode1 dropped and 2168 obs not used

note: 553.ccode1 != 0 predicts failure perfectly
      553.ccode1 dropped and 3625 obs not used

note: 560.ccode1 != 0 predicts failure perfectly
      560.ccode1 dropped and 3625 obs not used

note: 565.ccode1 != 0 predicts failure perfectly
      565.ccode1 dropped and 971 obs not used

note: 570.ccode1 != 0 predicts failure perfectly
      570.ccode1 dropped and 3432 obs not used

note: 571.ccode1 != 0 predicts failure perfectly
      571.ccode1 dropped and 3432 obs not used

note: 572.ccode1 != 0 predicts failure perfectly
      572.ccode1 dropped and 3332 obs not used

note: 580.ccode1 != 0 predicts failure perfectly
      580.ccode1 dropped and 3625 obs not used

note: 581.ccode1 != 0 predicts failure perfectly
      581.ccode1 dropped and 2505 obs not used

note: 590.ccode1 != 0 predicts failure perfectly
      590.ccode1 dropped and 3432 obs not used

note: 600.ccode1 != 0 predicts failure perfectly
      600.ccode1 dropped and 3625 obs not used

note: 615.ccode1 != 0 predicts failure perfectly
      615.ccode1 dropped and 3625 obs not used

note: 616.ccode1 != 0 predicts failure perfectly
      616.ccode1 dropped and 3625 obs not used

note: 663.ccode1 != 0 predicts failure perfectly
      663.ccode1 dropped and 3625 obs not used

note: 692.ccode1 != 0 predicts failure perfectly
      692.ccode1 dropped and 3028 obs not used

note: 694.ccode1 != 0 predicts failure perfectly
      694.ccode1 dropped and 3028 obs not used

note: 696.ccode1 != 0 predicts failure perfectly
      696.ccode1 dropped and 3028 obs not used

note: 698.ccode1 != 0 predicts failure perfectly
      698.ccode1 dropped and 2925 obs not used

note: 701.ccode1 != 0 predicts failure perfectly
      701.ccode1 dropped and 723 obs not used

note: 702.ccode1 != 0 predicts failure perfectly
      702.ccode1 dropped and 582 obs not used

note: 703.ccode1 != 0 predicts failure perfectly
      703.ccode1 dropped and 582 obs not used

note: 704.ccode1 != 0 predicts failure perfectly
      704.ccode1 dropped and 723 obs not used

note: 712.ccode1 != 0 predicts failure perfectly
      712.ccode1 dropped and 847 obs not used

note: 760.ccode1 != 0 predicts failure perfectly
      760.ccode1 dropped and 2052 obs not used

note: 770.ccode1 != 0 predicts failure perfectly
      770.ccode1 dropped and 3625 obs not used

note: 771.ccode1 != 0 predicts failure perfectly
      771.ccode1 dropped and 3028 obs not used

note: 775.ccode1 != 0 predicts failure perfectly
      775.ccode1 dropped and 3625 obs not used

note: 780.ccode1 != 0 predicts failure perfectly
      780.ccode1 dropped and 3625 obs not used

note: 790.ccode1 != 0 predicts failure perfectly
      790.ccode1 dropped and 3625 obs not used

note: 811.ccode1 != 0 predicts failure perfectly
      811.ccode1 dropped and 1051 obs not used

note: 812.ccode1 != 0 predicts failure perfectly
      812.ccode1 dropped and 3102 obs not used

note: 816.ccode1 != 0 predicts failure perfectly
      816.ccode1 dropped and 3109 obs not used

note: 840.ccode1 != 0 predicts failure perfectly
      840.ccode1 dropped and 3625 obs not used

note: 910.ccode1 != 0 predicts failure perfectly
      910.ccode1 dropped and 2717 obs not used

note: 940.ccode1 != 0 predicts failure perfectly
      940.ccode1 dropped and 2394 obs not used

note: 950.ccode1 != 0 predicts failure perfectly
      950.ccode1 dropped and 3128 obs not used

note: 920.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5059.9273}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3630.7392}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3011.753}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2767.7891}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2758.3813}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2758.1094}  
Iteration 6:{space 3}log pseudolikelihood = {res: -2758.109}  
Iteration 7:{space 3}log pseudolikelihood = {res: -2758.109}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    139439
{txt}{col 51}Wald chi2({res}56{txt}){col 67}= {res}   1642.94
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -2758.109{txt}{col 51}Pseudo R2{col 67}= {res}    0.4549

{txt}{ralign 81:(Std. Err. adjusted for {res:6068} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2}  .020545{col 29}{space 2}  .058692{col 40}{space 1}    0.35{col 49}{space 3}0.726{col 57}{space 4}-.0944892{col 70}{space 3} .1355793
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6605541{col 29}{space 2} .3692048{col 40}{space 1}    1.79{col 49}{space 3}0.074{col 57}{space 4}-.0630741{col 70}{space 3} 1.384182
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .6655041{col 29}{space 2} .4569958{col 40}{space 1}    1.46{col 49}{space 3}0.145{col 57}{space 4}-.2301912{col 70}{space 3} 1.561199
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .1155901{col 29}{space 2} .1721781{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4}-.2218727{col 70}{space 3} .4530529
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.6486977{col 29}{space 2} .2888042{col 40}{space 1}   -2.25{col 49}{space 3}0.025{col 57}{space 4}-1.214744{col 70}{space 3}-.0826518
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.113605{col 29}{space 2} .5354048{col 40}{space 1}    2.08{col 49}{space 3}0.038{col 57}{space 4}  .064231{col 70}{space 3} 2.162979
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 30.03171{col 29}{space 2} 6.675352{col 40}{space 1}    4.50{col 49}{space 3}0.000{col 57}{space 4} 16.94826{col 70}{space 3} 43.11516
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 8.946256{col 29}{space 2} 1.163992{col 40}{space 1}    7.69{col 49}{space 3}0.000{col 57}{space 4} 6.664874{col 70}{space 3} 11.22764
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0621301{col 29}{space 2} .0478793{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4}-.0317116{col 70}{space 3} .1559718
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0417899{col 29}{space 2}  .019632{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} .0033118{col 70}{space 3}  .080268
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0588673{col 29}{space 2} .0237376{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4}-.1053922{col 70}{space 3}-.0123425
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5465357{col 29}{space 2} .2218551{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} .1117078{col 70}{space 3} .9813637
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.5368947{col 29}{space 2} .0715419{col 40}{space 1}   -7.50{col 49}{space 3}0.000{col 57}{space 4}-.6771143{col 70}{space 3}-.3966751
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.472889{col 29}{space 2} .5622986{col 40}{space 1}    4.40{col 49}{space 3}0.000{col 57}{space 4} 1.370804{col 70}{space 3} 3.574974
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.4723946{col 29}{space 2} .0584572{col 40}{space 1}   -8.08{col 49}{space 3}0.000{col 57}{space 4}-.5869685{col 70}{space 3}-.3578206
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0310186{col 29}{space 2} .0043132{col 40}{space 1}    7.19{col 49}{space 3}0.000{col 57}{space 4} .0225649{col 70}{space 3} .0394723
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005888{col 29}{space 2} .0000914{col 40}{space 1}   -6.44{col 49}{space 3}0.000{col 57}{space 4}-.0007679{col 70}{space 3}-.0004097
{txt}{space 15} {c |}
{space 9}ccode1 {c |}
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{txt}{space 11}712  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}740  {c |}{col 17}{res}{space 2} 4.188667{col 29}{space 2} 1.206194{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} 1.824571{col 70}{space 3} 6.552763
{txt}{space 11}750  {c |}{col 17}{res}{space 2} 4.880331{col 29}{space 2} 1.154651{col 40}{space 1}    4.23{col 49}{space 3}0.000{col 57}{space 4} 2.617257{col 70}{space 3} 7.143406
{txt}{space 11}760  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}770  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}771  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}775  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}780  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}790  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}800  {c |}{col 17}{res}{space 2} 1.244414{col 29}{space 2} 1.416332{col 40}{space 1}    0.88{col 49}{space 3}0.380{col 57}{space 4}-1.531545{col 70}{space 3} 4.020373
{txt}{space 11}811  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}812  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}816  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}820  {c |}{col 17}{res}{space 2} .5964271{col 29}{space 2}  1.48435{col 40}{space 1}    0.40{col 49}{space 3}0.688{col 57}{space 4}-2.312845{col 70}{space 3} 3.505699
{txt}{space 11}830  {c |}{col 17}{res}{space 2} 1.135767{col 29}{space 2} 1.624985{col 40}{space 1}    0.70{col 49}{space 3}0.485{col 57}{space 4}-2.049146{col 70}{space 3} 4.320679
{txt}{space 11}840  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}850  {c |}{col 17}{res}{space 2}  2.12179{col 29}{space 2} 1.632336{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4}-1.077529{col 70}{space 3} 5.321109
{txt}{space 11}900  {c |}{col 17}{res}{space 2}  2.54373{col 29}{space 2} 1.143464{col 40}{space 1}    2.22{col 49}{space 3}0.026{col 57}{space 4} .3025819{col 70}{space 3} 4.784879
{txt}{space 11}910  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}920  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 11}940  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}950  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-12.30918{col 29}{space 2} 1.979712{col 40}{space 1}   -6.22{col 49}{space 3}0.000{col 57}{space 4}-16.18935{col 70}{space 3} -8.42902
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table23 , word label title(Table 23: Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table23.rtf"'"':Table23.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table23.txt", label"':seeout}

{com}. 
. *Model 2*
. logit imposition FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode1, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

note: 100.ccode1 != 0 predicts failure perfectly
      100.ccode1 dropped and 6 obs not used

note: 155.ccode1 != 0 predicts success perfectly
      155.ccode1 dropped and 7 obs not used

note: 160.ccode1 != 0 predicts failure perfectly
      160.ccode1 dropped and 8 obs not used

note: 350.ccode1 != 0 predicts failure perfectly
      350.ccode1 dropped and 1 obs not used

note: 365.ccode1 != 0 predicts failure perfectly
      365.ccode1 dropped and 2 obs not used

note: 380.ccode1 != 0 predicts failure perfectly
      380.ccode1 dropped and 1 obs not used

note: 501.ccode1 != 0 predicts failure perfectly
      501.ccode1 dropped and 1 obs not used

note: 510.ccode1 != 0 predicts failure perfectly
      510.ccode1 dropped and 4 obs not used

note: 516.ccode1 != 0 predicts success perfectly
      516.ccode1 dropped and 5 obs not used

note: 620.ccode1 != 0 predicts success perfectly
      620.ccode1 dropped and 2 obs not used

note: 625.ccode1 != 0 predicts failure perfectly
      625.ccode1 dropped and 1 obs not used

note: 651.ccode1 != 0 predicts failure perfectly
      651.ccode1 dropped and 6 obs not used

note: 652.ccode1 != 0 predicts success perfectly
      652.ccode1 dropped and 1 obs not used

note: 660.ccode1 != 0 predicts success perfectly
      660.ccode1 dropped and 1 obs not used

note: 690.ccode1 != 0 predicts success perfectly
      690.ccode1 dropped and 1 obs not used

note: 700.ccode1 != 0 predicts failure perfectly
      700.ccode1 dropped and 2 obs not used

note: 705.ccode1 != 0 predicts failure perfectly
      705.ccode1 dropped and 4 obs not used

note: 732.ccode1 != 0 predicts failure perfectly
      732.ccode1 dropped and 3 obs not used

note: 800.ccode1 != 0 predicts success perfectly
      800.ccode1 dropped and 1 obs not used

note: 820.ccode1 != 0 predicts success perfectly
      820.ccode1 dropped and 1 obs not used

note: 830.ccode1 != 0 predicts failure perfectly
      830.ccode1 dropped and 2 obs not used

note: 850.ccode1 != 0 predicts failure perfectly
      850.ccode1 dropped and 1 obs not used

note: 920.ccode1 != 0 predicts failure perfectly
      920.ccode1 dropped and 1 obs not used

note: 900.ccode1 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-478.54485}  
Iteration 1:{space 3}log pseudolikelihood = {res:-418.63618}  
Iteration 2:{space 3}log pseudolikelihood = {res:-416.96689}  
Iteration 3:{space 3}log pseudolikelihood = {res:-416.95404}  
Iteration 4:{space 3}log pseudolikelihood = {res:-416.95401}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       762
{txt}{col 51}Wald chi2({res}29{txt}){col 67}= {res}     71.75
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-416.95401{txt}{col 51}Pseudo R2{col 67}= {res}    0.1287

{txt}{ralign 79:(Std. Err. adjusted for {res:189} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1901681{col 27}{space 2} .0733571{col 38}{space 1}    2.59{col 47}{space 3}0.010{col 55}{space 4} .0463908{col 68}{space 3} .3339455
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .5389287{col 27}{space 2} 1.144285{col 38}{space 1}    0.47{col 47}{space 3}0.638{col 55}{space 4}-1.703828{col 68}{space 3} 2.781686
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .6309729{col 27}{space 2} .2824641{col 38}{space 1}    2.23{col 47}{space 3}0.025{col 55}{space 4} .0773533{col 68}{space 3} 1.184592
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.429611{col 27}{space 2} .4491804{col 38}{space 1}   -3.18{col 47}{space 3}0.001{col 55}{space 4}-2.309988{col 68}{space 3}-.5492332
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.267247{col 27}{space 2}  .610126{col 38}{space 1}    2.08{col 47}{space 3}0.038{col 55}{space 4} .0714218{col 68}{space 3} 2.463072
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-10.80158{col 27}{space 2} 19.96008{col 38}{space 1}   -0.54{col 47}{space 3}0.588{col 55}{space 4}-49.92263{col 68}{space 3} 28.31946
{txt}{space 5}ussender {c |}{col 15}{res}{space 2}  .981741{col 27}{space 2} 1.263557{col 38}{space 1}    0.78{col 47}{space 3}0.437{col 55}{space 4}-1.494786{col 68}{space 3} 3.458268
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.3278041{col 27}{space 2} .1958299{col 38}{space 1}   -1.67{col 47}{space 3}0.094{col 55}{space 4}-.7116236{col 68}{space 3} .0560155
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0156593{col 27}{space 2}  .039739{col 38}{space 1}    0.39{col 47}{space 3}0.694{col 55}{space 4}-.0622278{col 68}{space 3} .0935463
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0673844{col 27}{space 2} .0427156{col 38}{space 1}    1.58{col 47}{space 3}0.115{col 55}{space 4}-.0163365{col 68}{space 3} .1511054
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2} -.015261{col 27}{space 2} .3476875{col 38}{space 1}   -0.04{col 47}{space 3}0.965{col 55}{space 4} -.696716{col 68}{space 3}  .666194
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1867653{col 27}{space 2}  .106313{col 38}{space 1}   -1.76{col 47}{space 3}0.079{col 55}{space 4}-.3951349{col 68}{space 3} .0216043
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.4219698{col 27}{space 2}  .554057{col 38}{space 1}   -0.76{col 47}{space 3}0.446{col 55}{space 4}-1.507902{col 68}{space 3}  .663962
{txt}{space 13} {c |}
{space 7}ccode1 {c |}
{space 10}20  {c |}{col 15}{res}{space 2} -.361562{col 27}{space 2} 1.192638{col 38}{space 1}   -0.30{col 47}{space 3}0.762{col 55}{space 4}-2.699089{col 68}{space 3} 1.975965
{txt}{space 10}70  {c |}{col 15}{res}{space 2}-3.543504{col 27}{space 2} 2.175572{col 38}{space 1}   -1.63{col 47}{space 3}0.103{col 55}{space 4}-7.807547{col 68}{space 3} .7205396
{txt}{space 9}100  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}140  {c |}{col 15}{res}{space 2}  1.11277{col 27}{space 2} 1.813452{col 38}{space 1}    0.61{col 47}{space 3}0.539{col 55}{space 4} -2.44153{col 68}{space 3}  4.66707
{txt}{space 9}155  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}160  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}200  {c |}{col 15}{res}{space 2} 1.102681{col 27}{space 2}  1.32513{col 38}{space 1}    0.83{col 47}{space 3}0.405{col 55}{space 4}-1.494525{col 68}{space 3} 3.699887
{txt}{space 9}220  {c |}{col 15}{res}{space 2}-.2018723{col 27}{space 2} 1.816315{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-3.761785{col 68}{space 3}  3.35804
{txt}{space 9}230  {c |}{col 15}{res}{space 2}-.2155621{col 27}{space 2} 1.788793{col 38}{space 1}   -0.12{col 47}{space 3}0.904{col 55}{space 4}-3.721532{col 68}{space 3} 3.290408
{txt}{space 9}325  {c |}{col 15}{res}{space 2} 1.333303{col 27}{space 2} 1.905504{col 38}{space 1}    0.70{col 47}{space 3}0.484{col 55}{space 4}-2.401416{col 68}{space 3} 5.068022
{txt}{space 9}350  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}365  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}380  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}475  {c |}{col 15}{res}{space 2} 1.665249{col 27}{space 2} 1.879231{col 38}{space 1}    0.89{col 47}{space 3}0.376{col 55}{space 4}-2.017976{col 68}{space 3} 5.348474
{txt}{space 9}501  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}510  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}516  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}620  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}625  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}630  {c |}{col 15}{res}{space 2}-4.538764{col 27}{space 2} 3.401969{col 38}{space 1}   -1.33{col 47}{space 3}0.182{col 55}{space 4} -11.2065{col 68}{space 3} 2.128972
{txt}{space 9}640  {c |}{col 15}{res}{space 2}-2.316591{col 27}{space 2} 7.619653{col 38}{space 1}   -0.30{col 47}{space 3}0.761{col 55}{space 4}-17.25084{col 68}{space 3} 12.61765
{txt}{space 9}645  {c |}{col 15}{res}{space 2}-4.239743{col 27}{space 2} 4.191547{col 38}{space 1}   -1.01{col 47}{space 3}0.312{col 55}{space 4}-12.45503{col 68}{space 3} 3.975539
{txt}{space 9}651  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}652  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}660  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}666  {c |}{col 15}{res}{space 2}-.4435108{col 27}{space 2} 1.986463{col 38}{space 1}   -0.22{col 47}{space 3}0.823{col 55}{space 4}-4.336906{col 68}{space 3} 3.449884
{txt}{space 9}670  {c |}{col 15}{res}{space 2}-6.833065{col 27}{space 2} 4.146914{col 38}{space 1}   -1.65{col 47}{space 3}0.099{col 55}{space 4}-14.96087{col 68}{space 3} 1.294736
{txt}{space 9}690  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}700  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}705  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}710  {c |}{col 15}{res}{space 2}-4.739887{col 27}{space 2} 3.618066{col 38}{space 1}   -1.31{col 47}{space 3}0.190{col 55}{space 4}-11.83117{col 68}{space 3} 2.351393
{txt}{space 9}732  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}740  {c |}{col 15}{res}{space 2} 1.391579{col 27}{space 2} 1.579483{col 38}{space 1}    0.88{col 47}{space 3}0.378{col 55}{space 4}-1.704151{col 68}{space 3} 4.487308
{txt}{space 9}750  {c |}{col 15}{res}{space 2}-1.574879{col 27}{space 2} 1.690126{col 38}{space 1}   -0.93{col 47}{space 3}0.351{col 55}{space 4}-4.887465{col 68}{space 3} 1.737708
{txt}{space 9}800  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}820  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}830  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}850  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}900  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}920  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.133494{col 27}{space 2}  3.19263{col 38}{space 1}   -0.67{col 47}{space 3}0.504{col 55}{space 4}-8.390934{col 68}{space 3} 4.123945
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table23 , word label title(Table 23: Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table23.rtf"'"':Table23.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table23.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.ccode2, iterate(10) cluster(dyadid)

{txt}note: 51.ccode2 != 0 predicts failure perfectly
      51.ccode2 dropped and 3625 obs not used

note: 52.ccode2 != 0 predicts failure perfectly
      52.ccode2 dropped and 3625 obs not used

note: 110.ccode2 != 0 predicts failure perfectly
      110.ccode2 dropped and 3625 obs not used

note: 310.ccode2 != 0 predicts failure perfectly
      310.ccode2 dropped and 1935 obs not used

note: 317.ccode2 != 0 predicts failure perfectly
      317.ccode2 dropped and 723 obs not used

note: 343.ccode2 != 0 predicts failure perfectly
      343.ccode2 dropped and 582 obs not used

note: 344.ccode2 != 0 predicts failure perfectly
      344.ccode2 dropped and 723 obs not used

note: 349.ccode2 != 0 predicts failure perfectly
      349.ccode2 dropped and 723 obs not used

note: 352.ccode2 != 0 predicts failure perfectly
      352.ccode2 dropped and 3625 obs not used

note: 355.ccode2 != 0 predicts failure perfectly
      355.ccode2 dropped and 971 obs not used

note: 359.ccode2 != 0 predicts failure perfectly
      359.ccode2 dropped and 723 obs not used

note: 367.ccode2 != 0 predicts failure perfectly
      367.ccode2 dropped and 723 obs not used

note: 368.ccode2 != 0 predicts failure perfectly
      368.ccode2 dropped and 723 obs not used

note: 371.ccode2 != 0 predicts failure perfectly
      371.ccode2 dropped and 723 obs not used

note: 372.ccode2 != 0 predicts failure perfectly
      372.ccode2 dropped and 723 obs not used

note: 373.ccode2 != 0 predicts failure perfectly
      373.ccode2 dropped and 723 obs not used

note: 404.ccode2 != 0 predicts failure perfectly
      404.ccode2 dropped and 2505 obs not used

note: 411.ccode2 != 0 predicts failure perfectly
      411.ccode2 dropped and 3332 obs not used

note: 432.ccode2 != 0 predicts failure perfectly
      432.ccode2 dropped and 3625 obs not used

note: 433.ccode2 != 0 predicts failure perfectly
      433.ccode2 dropped and 3625 obs not used

note: 434.ccode2 != 0 predicts failure perfectly
      434.ccode2 dropped and 2717 obs not used

note: 435.ccode2 != 0 predicts failure perfectly
      435.ccode2 dropped and 3625 obs not used

note: 436.ccode2 != 0 predicts failure perfectly
      436.ccode2 dropped and 3625 obs not used

note: 438.ccode2 != 0 predicts failure perfectly
      438.ccode2 dropped and 3625 obs not used

note: 451.ccode2 != 0 predicts failure perfectly
      451.ccode2 dropped and 3625 obs not used

note: 452.ccode2 != 0 predicts failure perfectly
      452.ccode2 dropped and 3625 obs not used

note: 471.ccode2 != 0 predicts failure perfectly
      471.ccode2 dropped and 3625 obs not used

note: 482.ccode2 != 0 predicts failure perfectly
      482.ccode2 dropped and 3625 obs not used

note: 483.ccode2 != 0 predicts failure perfectly
      483.ccode2 dropped and 3625 obs not used

note: 484.ccode2 != 0 predicts failure perfectly
      484.ccode2 dropped and 3625 obs not used

note: 501.ccode2 != 0 predicts failure perfectly
      501.ccode2 dropped and 3625 obs not used

note: 510.ccode2 != 0 predicts failure perfectly
      510.ccode2 dropped and 3625 obs not used

note: 520.ccode2 != 0 predicts failure perfectly
      520.ccode2 dropped and 2926 obs not used

note: 522.ccode2 != 0 predicts failure perfectly
      522.ccode2 dropped and 2394 obs not used

note: 540.ccode2 != 0 predicts failure perfectly
      540.ccode2 dropped and 1093 obs not used

note: 541.ccode2 != 0 predicts failure perfectly
      541.ccode2 dropped and 1697 obs not used

note: 551.ccode2 != 0 predicts failure perfectly
      551.ccode2 dropped and 3625 obs not used

note: 553.ccode2 != 0 predicts failure perfectly
      553.ccode2 dropped and 3625 obs not used

note: 565.ccode2 != 0 predicts failure perfectly
      565.ccode2 dropped and 971 obs not used

note: 570.ccode2 != 0 predicts failure perfectly
      570.ccode2 dropped and 3432 obs not used

note: 571.ccode2 != 0 predicts failure perfectly
      571.ccode2 dropped and 3432 obs not used

note: 572.ccode2 != 0 predicts failure perfectly
      572.ccode2 dropped and 3332 obs not used

note: 580.ccode2 != 0 predicts failure perfectly
      580.ccode2 dropped and 3625 obs not used

note: 581.ccode2 != 0 predicts failure perfectly
      581.ccode2 dropped and 2505 obs not used

note: 590.ccode2 != 0 predicts failure perfectly
      590.ccode2 dropped and 3432 obs not used

note: 616.ccode2 != 0 predicts failure perfectly
      616.ccode2 dropped and 3625 obs not used

note: 694.ccode2 != 0 predicts failure perfectly
      694.ccode2 dropped and 3028 obs not used

note: 696.ccode2 != 0 predicts failure perfectly
      696.ccode2 dropped and 3028 obs not used

note: 698.ccode2 != 0 predicts failure perfectly
      698.ccode2 dropped and 2925 obs not used

note: 701.ccode2 != 0 predicts failure perfectly
      701.ccode2 dropped and 723 obs not used

note: 702.ccode2 != 0 predicts failure perfectly
      702.ccode2 dropped and 582 obs not used

note: 705.ccode2 != 0 predicts failure perfectly
      705.ccode2 dropped and 723 obs not used

note: 712.ccode2 != 0 predicts failure perfectly
      712.ccode2 dropped and 847 obs not used

note: 760.ccode2 != 0 predicts failure perfectly
      760.ccode2 dropped and 2052 obs not used

note: 811.ccode2 != 0 predicts failure perfectly
      811.ccode2 dropped and 1051 obs not used

note: 910.ccode2 != 0 predicts failure perfectly
      910.ccode2 dropped and 2717 obs not used

note: 940.ccode2 != 0 predicts failure perfectly
      940.ccode2 dropped and 2394 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5678.2514}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3782.8228}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3467.7419}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2851.104}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2807.8858}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2804.8527}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2804.7662}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2804.7492}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2804.7455}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2804.7447}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2804.7445}  
convergence not achieved
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    294312
{txt}{col 51}Wald chi2({res}108{txt}){col 67}= {res}   5551.08
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2804.7445{txt}{col 51}Pseudo R2{col 67}= {res}    0.5061

{txt}{ralign 81:(Std. Err. adjusted for {res:13616} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0221554{col 29}{space 2} .0855745{col 40}{space 1}    0.26{col 49}{space 3}0.796{col 57}{space 4}-.1455676{col 70}{space 3} .1898783
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .6713223{col 29}{space 2} .4050598{col 40}{space 1}    1.66{col 49}{space 3}0.097{col 57}{space 4}-.1225803{col 70}{space 3} 1.465225
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 10.24894{col 29}{space 2} .3362685{col 40}{space 1}   30.48{col 49}{space 3}0.000{col 57}{space 4} 9.589863{col 70}{space 3} 10.90801
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .0875764{col 29}{space 2} .1576607{col 40}{space 1}    0.56{col 49}{space 3}0.579{col 57}{space 4}-.2214329{col 70}{space 3} .3965857
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.6812185{col 29}{space 2} .3413185{col 40}{space 1}   -2.00{col 49}{space 3}0.046{col 57}{space 4} -1.35019{col 70}{space 3}-.0122466
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.819644{col 29}{space 2} .5149878{col 40}{space 1}    5.48{col 49}{space 3}0.000{col 57}{space 4} 1.810286{col 70}{space 3} 3.829001
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 21.61778{col 29}{space 2}  6.22543{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} 9.416157{col 70}{space 3} 33.81939
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 3.244956{col 29}{space 2} .3473686{col 40}{space 1}    9.34{col 49}{space 3}0.000{col 57}{space 4} 2.564126{col 70}{space 3} 3.925786
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0007121{col 29}{space 2} .0187108{col 40}{space 1}    0.04{col 49}{space 3}0.970{col 57}{space 4}-.0359603{col 70}{space 3} .0373846
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0511954{col 29}{space 2} .0279638{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}-.0036126{col 70}{space 3} .1060035
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} -.058987{col 29}{space 2} .0268343{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4}-.1115812{col 70}{space 3}-.0063928
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}  .077266{col 29}{space 2} .2786439{col 40}{space 1}    0.28{col 49}{space 3}0.782{col 57}{space 4} -.468866{col 70}{space 3} .6233979
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} .6187028{col 29}{space 2} .0580103{col 40}{space 1}   10.67{col 49}{space 3}0.000{col 57}{space 4} .5050047{col 70}{space 3} .7324009
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.851061{col 29}{space 2} .6864054{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} .5057314{col 70}{space 3} 3.196391
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.4765535{col 29}{space 2} .0581258{col 40}{space 1}   -8.20{col 49}{space 3}0.000{col 57}{space 4} -.590478{col 70}{space 3} -.362629
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0311678{col 29}{space 2} .0044828{col 40}{space 1}    6.95{col 49}{space 3}0.000{col 57}{space 4} .0223817{col 70}{space 3} .0399538
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006019{col 29}{space 2} .0000957{col 40}{space 1}   -6.29{col 49}{space 3}0.000{col 57}{space 4}-.0007895{col 70}{space 3}-.0004143
{txt}{space 15} {c |}
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{txt}{space 11}651  {c |}{col 17}{res}{space 2}-4.622535{col 29}{space 2} 1.456664{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4}-7.477543{col 70}{space 3}-1.767526
{txt}{space 11}652  {c |}{col 17}{res}{space 2}-3.904989{col 29}{space 2} .6044911{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4} -5.08977{col 70}{space 3}-2.720208
{txt}{space 11}660  {c |}{col 17}{res}{space 2}-5.681783{col 29}{space 2} 1.284609{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4} -8.19957{col 70}{space 3}-3.163996
{txt}{space 11}663  {c |}{col 17}{res}{space 2} -5.55283{col 29}{space 2} .6379436{col 40}{space 1}   -8.70{col 49}{space 3}0.000{col 57}{space 4}-6.803176{col 70}{space 3}-4.302484
{txt}{space 11}666  {c |}{col 17}{res}{space 2}-4.655612{col 29}{space 2} .7180924{col 40}{space 1}   -6.48{col 49}{space 3}0.000{col 57}{space 4}-6.063047{col 70}{space 3}-3.248176
{txt}{space 11}670  {c |}{col 17}{res}{space 2}-3.056694{col 29}{space 2} 1.052637{col 40}{space 1}   -2.90{col 49}{space 3}0.004{col 57}{space 4}-5.119824{col 70}{space 3}-.9935643
{txt}{space 11}690  {c |}{col 17}{res}{space 2}-6.716272{col 29}{space 2} .6597945{col 40}{space 1}  -10.18{col 49}{space 3}0.000{col 57}{space 4}-8.009446{col 70}{space 3}-5.423099
{txt}{space 11}692  {c |}{col 17}{res}{space 2}-6.257041{col 29}{space 2} 1.473913{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-9.145856{col 70}{space 3}-3.368225
{txt}{space 11}694  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}696  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}698  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}700  {c |}{col 17}{res}{space 2}-5.241093{col 29}{space 2} .6356569{col 40}{space 1}   -8.25{col 49}{space 3}0.000{col 57}{space 4}-6.486958{col 70}{space 3}-3.995229
{txt}{space 11}701  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}702  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}703  {c |}{col 17}{res}{space 2}-5.307585{col 29}{space 2} 1.531247{col 40}{space 1}   -3.47{col 49}{space 3}0.001{col 57}{space 4}-8.308775{col 70}{space 3}-2.306396
{txt}{space 11}704  {c |}{col 17}{res}{space 2}-4.252245{col 29}{space 2} 1.483111{col 40}{space 1}   -2.87{col 49}{space 3}0.004{col 57}{space 4} -7.15909{col 70}{space 3}-1.345401
{txt}{space 11}705  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}710  {c |}{col 17}{res}{space 2}-1.121319{col 29}{space 2} .9353796{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-2.954629{col 70}{space 3} .7119916
{txt}{space 11}712  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}732  {c |}{col 17}{res}{space 2} -2.56345{col 29}{space 2} .4795675{col 40}{space 1}   -5.35{col 49}{space 3}0.000{col 57}{space 4}-3.503385{col 70}{space 3}-1.623515
{txt}{space 11}740  {c |}{col 17}{res}{space 2}-2.159091{col 29}{space 2} .3809361{col 40}{space 1}   -5.67{col 49}{space 3}0.000{col 57}{space 4}-2.905713{col 70}{space 3} -1.41247
{txt}{space 11}750  {c |}{col 17}{res}{space 2}-2.148697{col 29}{space 2}    .5233{col 40}{space 1}   -4.11{col 49}{space 3}0.000{col 57}{space 4}-3.174346{col 70}{space 3}-1.123048
{txt}{space 11}760  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}770  {c |}{col 17}{res}{space 2}-4.025989{col 29}{space 2} .5866069{col 40}{space 1}   -6.86{col 49}{space 3}0.000{col 57}{space 4}-5.175718{col 70}{space 3}-2.876261
{txt}{space 11}771  {c |}{col 17}{res}{space 2}-4.787268{col 29}{space 2} .5687548{col 40}{space 1}   -8.42{col 49}{space 3}0.000{col 57}{space 4}-5.902007{col 70}{space 3} -3.67253
{txt}{space 11}775  {c |}{col 17}{res}{space 2}-5.255278{col 29}{space 2} .5542621{col 40}{space 1}   -9.48{col 49}{space 3}0.000{col 57}{space 4}-6.341612{col 70}{space 3}-4.168945
{txt}{space 11}780  {c |}{col 17}{res}{space 2} 3.426925{col 29}{space 2} .7760688{col 40}{space 1}    4.42{col 49}{space 3}0.000{col 57}{space 4} 1.905858{col 70}{space 3} 4.947992
{txt}{space 11}790  {c |}{col 17}{res}{space 2}-5.787988{col 29}{space 2} 1.285971{col 40}{space 1}   -4.50{col 49}{space 3}0.000{col 57}{space 4}-8.308444{col 70}{space 3}-3.267531
{txt}{space 11}800  {c |}{col 17}{res}{space 2} -4.13429{col 29}{space 2} .5104452{col 40}{space 1}   -8.10{col 49}{space 3}0.000{col 57}{space 4}-5.134744{col 70}{space 3}-3.133836
{txt}{space 11}811  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}812  {c |}{col 17}{res}{space 2}-3.106514{col 29}{space 2} .7999285{col 40}{space 1}   -3.88{col 49}{space 3}0.000{col 57}{space 4}-4.674345{col 70}{space 3}-1.538683
{txt}{space 11}816  {c |}{col 17}{res}{space 2}-.5506538{col 29}{space 2} .7164518{col 40}{space 1}   -0.77{col 49}{space 3}0.442{col 57}{space 4}-1.954873{col 70}{space 3} .8535658
{txt}{space 11}820  {c |}{col 17}{res}{space 2} -5.45457{col 29}{space 2} .6130074{col 40}{space 1}   -8.90{col 49}{space 3}0.000{col 57}{space 4}-6.656042{col 70}{space 3}-4.253097
{txt}{space 11}830  {c |}{col 17}{res}{space 2}   -5.052{col 29}{space 2} .6608058{col 40}{space 1}   -7.65{col 49}{space 3}0.000{col 57}{space 4}-6.347155{col 70}{space 3}-3.756844
{txt}{space 11}840  {c |}{col 17}{res}{space 2}-6.538589{col 29}{space 2} .5716769{col 40}{space 1}  -11.44{col 49}{space 3}0.000{col 57}{space 4}-7.659055{col 70}{space 3}-5.418123
{txt}{space 11}850  {c |}{col 17}{res}{space 2} -4.11911{col 29}{space 2} .5391431{col 40}{space 1}   -7.64{col 49}{space 3}0.000{col 57}{space 4}-5.175811{col 70}{space 3}-3.062409
{txt}{space 11}900  {c |}{col 17}{res}{space 2}-3.854549{col 29}{space 2} .4830274{col 40}{space 1}   -7.98{col 49}{space 3}0.000{col 57}{space 4}-4.801266{col 70}{space 3}-2.907833
{txt}{space 11}910  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}920  {c |}{col 17}{res}{space 2}-5.074179{col 29}{space 2}  .575218{col 40}{space 1}   -8.82{col 49}{space 3}0.000{col 57}{space 4}-6.201586{col 70}{space 3}-3.946773
{txt}{space 11}940  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}950  {c |}{col 17}{res}{space 2} -7.08132{col 29}{space 2} 1.239516{col 40}{space 1}   -5.71{col 49}{space 3}0.000{col 57}{space 4}-9.510727{col 70}{space 3}-4.651913
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-20.85996{col 29}{space 2} 1.997138{col 40}{space 1}  -10.44{col 49}{space 3}0.000{col 57}{space 4}-24.77428{col 70}{space 3}-16.94564
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1755 failures and 0 successes completely determined.{p_end}
Warning: convergence not achieved

{com}. outreg2 using Table23 , word label title(Table 23: Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table23.rtf"'"':Table23.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table23.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo i.ccode2, vce(cluster dyadid)

{txt}note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

note: 41.ccode2 != 0 predicts failure perfectly
      41.ccode2 dropped and 5 obs not used

note: 42.ccode2 != 0 predicts failure perfectly
      42.ccode2 dropped and 1 obs not used

note: 92.ccode2 != 0 predicts failure perfectly
      92.ccode2 dropped and 6 obs not used

note: 94.ccode2 != 0 predicts failure perfectly
      94.ccode2 dropped and 6 obs not used

note: 101.ccode2 != 0 predicts failure perfectly
      101.ccode2 dropped and 11 obs not used

note: 135.ccode2 != 0 predicts success perfectly
      135.ccode2 dropped and 8 obs not used

note: 150.ccode2 != 0 predicts success perfectly
      150.ccode2 dropped and 7 obs not used

note: 165.ccode2 != 0 predicts failure perfectly
      165.ccode2 dropped and 5 obs not used

note: 205.ccode2 != 0 predicts failure perfectly
      205.ccode2 dropped and 3 obs not used

note: 211.ccode2 != 0 predicts failure perfectly
      211.ccode2 dropped and 4 obs not used

note: 225.ccode2 != 0 predicts failure perfectly
      225.ccode2 dropped and 1 obs not used

note: 290.ccode2 != 0 predicts failure perfectly
      290.ccode2 dropped and 2 obs not used

note: 339.ccode2 != 0 predicts failure perfectly
      339.ccode2 dropped and 1 obs not used

note: 350.ccode2 != 0 predicts failure perfectly
      350.ccode2 dropped and 2 obs not used

note: 366.ccode2 != 0 predicts failure perfectly
      366.ccode2 dropped and 2 obs not used

note: 369.ccode2 != 0 predicts success perfectly
      369.ccode2 dropped and 1 obs not used

note: 370.ccode2 != 0 predicts failure perfectly
      370.ccode2 dropped and 2 obs not used

note: 375.ccode2 != 0 predicts failure perfectly
      375.ccode2 dropped and 1 obs not used

note: 380.ccode2 != 0 predicts failure perfectly
      380.ccode2 dropped and 3 obs not used

note: 420.ccode2 != 0 predicts success perfectly
      420.ccode2 dropped and 1 obs not used

note: 437.ccode2 != 0 predicts success perfectly
      437.ccode2 dropped and 1 obs not used

note: 439.ccode2 != 0 predicts success perfectly
      439.ccode2 dropped and 2 obs not used

note: 450.ccode2 != 0 predicts failure perfectly
      450.ccode2 dropped and 1 obs not used

note: 461.ccode2 != 0 predicts success perfectly
      461.ccode2 dropped and 1 obs not used

note: 475.ccode2 != 0 predicts failure perfectly
      475.ccode2 dropped and 7 obs not used

note: 481.ccode2 != 0 predicts success perfectly
      481.ccode2 dropped and 1 obs not used

note: 500.ccode2 != 0 predicts failure perfectly
      500.ccode2 dropped and 8 obs not used

note: 517.ccode2 != 0 predicts success perfectly
      517.ccode2 dropped and 1 obs not used

note: 531.ccode2 != 0 predicts failure perfectly
      531.ccode2 dropped and 2 obs not used

note: 552.ccode2 != 0 predicts failure perfectly
      552.ccode2 dropped and 4 obs not used

note: 600.ccode2 != 0 predicts success perfectly
      600.ccode2 dropped and 2 obs not used

note: 615.ccode2 != 0 predicts success perfectly
      615.ccode2 dropped and 1 obs not used

note: 620.ccode2 != 0 predicts failure perfectly
      620.ccode2 dropped and 25 obs not used

note: 625.ccode2 != 0 predicts failure perfectly
      625.ccode2 dropped and 5 obs not used

note: 663.ccode2 != 0 predicts success perfectly
      663.ccode2 dropped and 5 obs not used

note: 690.ccode2 != 0 predicts success perfectly
      690.ccode2 dropped and 1 obs not used

note: 692.ccode2 != 0 predicts success perfectly
      692.ccode2 dropped and 1 obs not used

note: 700.ccode2 != 0 predicts failure perfectly
      700.ccode2 dropped and 2 obs not used

note: 703.ccode2 != 0 predicts failure perfectly
      703.ccode2 dropped and 1 obs not used

note: 704.ccode2 != 0 predicts failure perfectly
      704.ccode2 dropped and 1 obs not used

note: 771.ccode2 != 0 predicts success perfectly
      771.ccode2 dropped and 4 obs not used

note: 775.ccode2 != 0 predicts failure perfectly
      775.ccode2 dropped and 3 obs not used

note: 790.ccode2 != 0 predicts failure perfectly
      790.ccode2 dropped and 2 obs not used

note: 812.ccode2 != 0 predicts failure perfectly
      812.ccode2 dropped and 16 obs not used

note: 816.ccode2 != 0 predicts failure perfectly
      816.ccode2 dropped and 22 obs not used

note: 840.ccode2 != 0 predicts success perfectly
      840.ccode2 dropped and 1 obs not used

note: 950.ccode2 != 0 predicts failure perfectly
      950.ccode2 dropped and 3 obs not used

note: 780.ccode2 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-410.74622}  
Iteration 1:{space 3}log pseudolikelihood = {res:-347.72989}  
Iteration 2:{space 3}log pseudolikelihood = {res:-345.37151}  
Iteration 3:{space 3}log pseudolikelihood = {res:-345.32082}  
Iteration 4:{space 3}log pseudolikelihood = {res: -345.3206}  
Iteration 5:{space 3}log pseudolikelihood = {res: -345.3206}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       629
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(46)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res} -345.3206{txt}{col 51}Pseudo R2{col 67}= {res}    0.1593

{txt}{ralign 79:(Std. Err. adjusted for {res:168} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1169736{col 27}{space 2} .1053544{col 38}{space 1}    1.11{col 47}{space 3}0.267{col 55}{space 4}-.0895172{col 68}{space 3} .3234645
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} 1.221055{col 27}{space 2} 1.137903{col 38}{space 1}    1.07{col 47}{space 3}0.283{col 55}{space 4}-1.009194{col 68}{space 3} 3.451304
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}WTO {c |}{col 15}{res}{space 2} .2251819{col 27}{space 2} .3583191{col 38}{space 1}    0.63{col 47}{space 3}0.530{col 55}{space 4}-.4771106{col 68}{space 3} .9274744
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-.0353221{col 27}{space 2} .6857562{col 38}{space 1}   -0.05{col 47}{space 3}0.959{col 55}{space 4} -1.37938{col 68}{space 3} 1.308735
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.450274{col 27}{space 2} 1.202689{col 38}{space 1}    1.21{col 47}{space 3}0.228{col 55}{space 4}-.9069523{col 68}{space 3} 3.807501
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-25.49984{col 27}{space 2} 21.37775{col 38}{space 1}   -1.19{col 47}{space 3}0.233{col 55}{space 4}-67.39945{col 68}{space 3} 16.39978
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.955059{col 27}{space 2} .8601765{col 38}{space 1}    2.27{col 47}{space 3}0.023{col 55}{space 4} .2691439{col 68}{space 3} 3.640974
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0745652{col 27}{space 2} .0561144{col 38}{space 1}   -1.33{col 47}{space 3}0.184{col 55}{space 4}-.1845475{col 68}{space 3} .0354171
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0218847{col 27}{space 2} .0605557{col 38}{space 1}    0.36{col 47}{space 3}0.718{col 55}{space 4}-.0968023{col 68}{space 3} .1405717
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0426269{col 27}{space 2} .0557871{col 38}{space 1}    0.76{col 47}{space 3}0.445{col 55}{space 4}-.0667138{col 68}{space 3} .1519677
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.4310511{col 27}{space 2}  .444582{col 38}{space 1}   -0.97{col 47}{space 3}0.332{col 55}{space 4}-1.302416{col 68}{space 3} .4403137
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2637589{col 27}{space 2} .2444518{col 38}{space 1}   -1.08{col 47}{space 3}0.281{col 55}{space 4}-.7428755{col 68}{space 3} .2153578
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.3112059{col 27}{space 2} .7102263{col 38}{space 1}   -0.44{col 47}{space 3}0.661{col 55}{space 4}-1.703224{col 68}{space 3} 1.080812
{txt}{space 13} {c |}
{space 7}ccode2 {c |}
{space 10}20  {c |}{col 15}{res}{space 2} .0797921{col 27}{space 2} .8936503{col 38}{space 1}    0.09{col 47}{space 3}0.929{col 55}{space 4} -1.67173{col 68}{space 3} 1.831314
{txt}{space 10}41  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}42  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}70  {c |}{col 15}{res}{space 2}-.1473635{col 27}{space 2} .9267478{col 38}{space 1}   -0.16{col 47}{space 3}0.874{col 55}{space 4}-1.963756{col 68}{space 3} 1.669029
{txt}{space 10}90  {c |}{col 15}{res}{space 2}-.5985216{col 27}{space 2} 1.796495{col 38}{space 1}   -0.33{col 47}{space 3}0.739{col 55}{space 4}-4.119588{col 68}{space 3} 2.922545
{txt}{space 10}91  {c |}{col 15}{res}{space 2} -.312234{col 27}{space 2} 1.875219{col 38}{space 1}   -0.17{col 47}{space 3}0.868{col 55}{space 4}-3.987596{col 68}{space 3} 3.363128
{txt}{space 10}92  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}93  {c |}{col 15}{res}{space 2}-2.126389{col 27}{space 2} 1.709841{col 38}{space 1}   -1.24{col 47}{space 3}0.214{col 55}{space 4}-5.477615{col 68}{space 3} 1.224838
{txt}{space 10}94  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}95  {c |}{col 15}{res}{space 2}-.6270956{col 27}{space 2} 1.863705{col 38}{space 1}   -0.34{col 47}{space 3}0.737{col 55}{space 4}-4.279891{col 68}{space 3}   3.0257
{txt}{space 9}100  {c |}{col 15}{res}{space 2}-1.062528{col 27}{space 2}  1.14115{col 38}{space 1}   -0.93{col 47}{space 3}0.352{col 55}{space 4}-3.299141{col 68}{space 3} 1.174086
{txt}{space 9}101  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}130  {c |}{col 15}{res}{space 2} -.521256{col 27}{space 2}  1.31732{col 38}{space 1}   -0.40{col 47}{space 3}0.692{col 55}{space 4}-3.103155{col 68}{space 3} 2.060643
{txt}{space 9}135  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}140  {c |}{col 15}{res}{space 2} -1.15013{col 27}{space 2}  .803258{col 38}{space 1}   -1.43{col 47}{space 3}0.152{col 55}{space 4}-2.724487{col 68}{space 3} .4242266
{txt}{space 9}145  {c |}{col 15}{res}{space 2}-.6225206{col 27}{space 2} 1.721691{col 38}{space 1}   -0.36{col 47}{space 3}0.718{col 55}{space 4}-3.996973{col 68}{space 3} 2.751932
{txt}{space 9}150  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}155  {c |}{col 15}{res}{space 2}-.6559109{col 27}{space 2} 2.022003{col 38}{space 1}   -0.32{col 47}{space 3}0.746{col 55}{space 4}-4.618965{col 68}{space 3} 3.307143
{txt}{space 9}160  {c |}{col 15}{res}{space 2}-.3072144{col 27}{space 2} 1.139656{col 38}{space 1}   -0.27{col 47}{space 3}0.787{col 55}{space 4}-2.540899{col 68}{space 3}  1.92647
{txt}{space 9}165  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}200  {c |}{col 15}{res}{space 2}-.6660892{col 27}{space 2} .8082424{col 38}{space 1}   -0.82{col 47}{space 3}0.410{col 55}{space 4}-2.250215{col 68}{space 3} .9180368
{txt}{space 9}205  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}210  {c |}{col 15}{res}{space 2}-1.800127{col 27}{space 2} 1.349661{col 38}{space 1}   -1.33{col 47}{space 3}0.182{col 55}{space 4}-4.445414{col 68}{space 3} .8451597
{txt}{space 9}211  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}220  {c |}{col 15}{res}{space 2}-1.014802{col 27}{space 2}  .704016{col 38}{space 1}   -1.44{col 47}{space 3}0.149{col 55}{space 4}-2.394648{col 68}{space 3} .3650438
{txt}{space 9}225  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}230  {c |}{col 15}{res}{space 2}-1.618128{col 27}{space 2} .7562898{col 38}{space 1}   -2.14{col 47}{space 3}0.032{col 55}{space 4}-3.100428{col 68}{space 3}-.1358269
{txt}{space 9}235  {c |}{col 15}{res}{space 2} -.349566{col 27}{space 2} 1.588605{col 38}{space 1}   -0.22{col 47}{space 3}0.826{col 55}{space 4}-3.463175{col 68}{space 3} 2.764043
{txt}{space 9}290  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}305  {c |}{col 15}{res}{space 2}-1.021267{col 27}{space 2} 1.071219{col 38}{space 1}   -0.95{col 47}{space 3}0.340{col 55}{space 4}-3.120817{col 68}{space 3} 1.078283
{txt}{space 9}325  {c |}{col 15}{res}{space 2}-1.703373{col 27}{space 2} .7615997{col 38}{space 1}   -2.24{col 47}{space 3}0.025{col 55}{space 4}-3.196081{col 68}{space 3}-.2106646
{txt}{space 9}339  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}350  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}365  {c |}{col 15}{res}{space 2}-.9095022{col 27}{space 2} .9996952{col 38}{space 1}   -0.91{col 47}{space 3}0.363{col 55}{space 4}-2.868869{col 68}{space 3} 1.049864
{txt}{space 9}366  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}369  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}370  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}375  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}380  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}385  {c |}{col 15}{res}{space 2} .1793711{col 27}{space 2} 1.165391{col 38}{space 1}    0.15{col 47}{space 3}0.878{col 55}{space 4}-2.104754{col 68}{space 3} 2.463496
{txt}{space 9}390  {c |}{col 15}{res}{space 2} .5922749{col 27}{space 2} 1.705995{col 38}{space 1}    0.35{col 47}{space 3}0.728{col 55}{space 4}-2.751414{col 68}{space 3} 3.935963
{txt}{space 9}420  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}437  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}439  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}450  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}461  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}475  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}481  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}500  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}516  {c |}{col 15}{res}{space 2}-.4073755{col 27}{space 2} 2.026993{col 38}{space 1}   -0.20{col 47}{space 3}0.841{col 55}{space 4}-4.380209{col 68}{space 3} 3.565458
{txt}{space 9}517  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}531  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}552  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}560  {c |}{col 15}{res}{space 2} .5143002{col 27}{space 2} 1.496565{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-2.418914{col 68}{space 3} 3.447514
{txt}{space 9}600  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}615  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}620  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}625  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}630  {c |}{col 15}{res}{space 2}-.9732503{col 27}{space 2} 1.327495{col 38}{space 1}   -0.73{col 47}{space 3}0.463{col 55}{space 4}-3.575092{col 68}{space 3} 1.628592
{txt}{space 9}640  {c |}{col 15}{res}{space 2}-.9234212{col 27}{space 2} 1.016496{col 38}{space 1}   -0.91{col 47}{space 3}0.364{col 55}{space 4}-2.915716{col 68}{space 3} 1.068874
{txt}{space 9}645  {c |}{col 15}{res}{space 2}  .754105{col 27}{space 2} 1.499369{col 38}{space 1}    0.50{col 47}{space 3}0.615{col 55}{space 4}-2.184604{col 68}{space 3} 3.692814
{txt}{space 9}651  {c |}{col 15}{res}{space 2}-1.872943{col 27}{space 2} 1.636732{col 38}{space 1}   -1.14{col 47}{space 3}0.252{col 55}{space 4}-5.080878{col 68}{space 3} 1.334993
{txt}{space 9}652  {c |}{col 15}{res}{space 2}-.2965344{col 27}{space 2} 1.752669{col 38}{space 1}   -0.17{col 47}{space 3}0.866{col 55}{space 4}-3.731703{col 68}{space 3} 3.138634
{txt}{space 9}660  {c |}{col 15}{res}{space 2} -.207019{col 27}{space 2} 2.023332{col 38}{space 1}   -0.10{col 47}{space 3}0.919{col 55}{space 4}-4.172676{col 68}{space 3} 3.758638
{txt}{space 9}663  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}666  {c |}{col 15}{res}{space 2} .4667337{col 27}{space 2} 1.158862{col 38}{space 1}    0.40{col 47}{space 3}0.687{col 55}{space 4}-1.804594{col 68}{space 3} 2.738061
{txt}{space 9}670  {c |}{col 15}{res}{space 2}-1.770869{col 27}{space 2} 1.494708{col 38}{space 1}   -1.18{col 47}{space 3}0.236{col 55}{space 4}-4.700442{col 68}{space 3} 1.158704
{txt}{space 9}690  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}692  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}700  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}703  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}704  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}710  {c |}{col 15}{res}{space 2}-.2076619{col 27}{space 2} 1.187652{col 38}{space 1}   -0.17{col 47}{space 3}0.861{col 55}{space 4}-2.535416{col 68}{space 3} 2.120093
{txt}{space 9}732  {c |}{col 15}{res}{space 2}  .737125{col 27}{space 2} .9585639{col 38}{space 1}    0.77{col 47}{space 3}0.442{col 55}{space 4}-1.141626{col 68}{space 3} 2.615876
{txt}{space 9}740  {c |}{col 15}{res}{space 2}-.9424613{col 27}{space 2}  .533306{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-1.987722{col 68}{space 3} .1027991
{txt}{space 9}750  {c |}{col 15}{res}{space 2}-2.367101{col 27}{space 2} .7452565{col 38}{space 1}   -3.18{col 47}{space 3}0.001{col 55}{space 4}-3.827777{col 68}{space 3}-.9064253
{txt}{space 9}770  {c |}{col 15}{res}{space 2}-1.919132{col 27}{space 2} 1.004774{col 38}{space 1}   -1.91{col 47}{space 3}0.056{col 55}{space 4}-3.888453{col 68}{space 3} .0501899
{txt}{space 9}771  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}775  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}780  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}790  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}800  {c |}{col 15}{res}{space 2} .1745897{col 27}{space 2} 1.103886{col 38}{space 1}    0.16{col 47}{space 3}0.874{col 55}{space 4}-1.988987{col 68}{space 3} 2.338166
{txt}{space 9}812  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}816  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}820  {c |}{col 15}{res}{space 2} .7629664{col 27}{space 2} 1.425485{col 38}{space 1}    0.54{col 47}{space 3}0.592{col 55}{space 4}-2.030932{col 68}{space 3} 3.556865
{txt}{space 9}830  {c |}{col 15}{res}{space 2} .5999352{col 27}{space 2} 1.635616{col 38}{space 1}    0.37{col 47}{space 3}0.714{col 55}{space 4}-2.605814{col 68}{space 3} 3.805684
{txt}{space 9}840  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}850  {c |}{col 15}{res}{space 2} .0850362{col 27}{space 2} 1.180897{col 38}{space 1}    0.07{col 47}{space 3}0.943{col 55}{space 4}-2.229479{col 68}{space 3} 2.399551
{txt}{space 9}900  {c |}{col 15}{res}{space 2}-.9346726{col 27}{space 2} 1.011652{col 38}{space 1}   -0.92{col 47}{space 3}0.356{col 55}{space 4}-2.917474{col 68}{space 3} 1.048129
{txt}{space 9}920  {c |}{col 15}{res}{space 2}-2.745387{col 27}{space 2} 1.447966{col 38}{space 1}   -1.90{col 47}{space 3}0.058{col 55}{space 4}-5.583348{col 68}{space 3} .0925744
{txt}{space 9}950  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-5.651739{col 27}{space 2} 4.781149{col 38}{space 1}   -1.18{col 47}{space 3}0.237{col 55}{space 4}-15.02262{col 68}{space 3}  3.71914
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table23 , word label title(Table 23: Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table23.rtf"'"':Table23.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table23.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 24****
. *Model 1*
. xtlogit threat MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.year, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 25893 groups (623096 obs) dropped because of all positive or
      all negative outcomes.
note: ussender omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1872.3412}  
Iteration 1:{space 3}log likelihood = {res:-1564.3336}  
Iteration 2:{space 3}log likelihood = {res:-1535.3505}  
Iteration 3:{space 3}log likelihood = {res:-1530.5074}  
Iteration 4:{space 3}log likelihood = {res:-1529.5163}  
Iteration 5:{space 3}log likelihood = {res:-1529.2813}  
Iteration 6:{space 3}log likelihood = {res:-1529.2333}  
Iteration 7:{space 3}log likelihood = {res:-1529.2231}  
Iteration 8:{space 3}log likelihood = {res:-1529.2208}  
Iteration 9:{space 3}log likelihood = {res:-1529.2203}  
Iteration 10:{space 2}log likelihood = {res:-1529.2202}  
Iteration 11:{space 2}log likelihood = {res:-1529.2201}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     7754
{txt}Group variable: {res}dyadid{col 49}{txt}Number of groups{col 68}={col 70}{res}      273

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     28.4
{txt}{col 64}max{col 68}={col 70}{res}       32

{txt}{col 49}LR chi2({res}48{txt}){col 68}={col 70}{res}   855.27
{txt}Log likelihood  = {res}-1529.2201{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} -.168568{col 30}{space 2} .2903238{col 41}{space 1}   -0.58{col 50}{space 3}0.561{col 58}{space 4}-.7375922{col 71}{space 3} .4004563
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 1.218423{col 30}{space 2} .2556477{col 41}{space 1}    4.77{col 50}{space 3}0.000{col 58}{space 4} .7173631{col 71}{space 3} 1.719484
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0802236{col 30}{space 2} .4898593{col 41}{space 1}    0.16{col 50}{space 3}0.870{col 58}{space 4} -.879883{col 71}{space 3}  1.04033
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.6850694{col 30}{space 2} .4276628{col 41}{space 1}   -1.60{col 50}{space 3}0.109{col 58}{space 4}-1.523273{col 71}{space 3} .1531343
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .0521105{col 30}{space 2} .2241924{col 41}{space 1}    0.23{col 50}{space 3}0.816{col 58}{space 4}-.3872986{col 71}{space 3} .4915196
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.6625074{col 30}{space 2}   .26232{col 41}{space 1}   -2.53{col 50}{space 3}0.012{col 58}{space 4}-1.176645{col 71}{space 3}-.1483697
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}-.5973924{col 30}{space 2} .3171632{col 41}{space 1}   -1.88{col 50}{space 3}0.060{col 58}{space 4}-1.219021{col 71}{space 3} .0242361
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 34.01449{col 30}{space 2} 15.19383{col 41}{space 1}    2.24{col 50}{space 3}0.025{col 58}{space 4} 4.235134{col 71}{space 3} 63.79385
{txt}{space 8}ussender {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 8}polity21 {c |}{col 18}{res}{space 2} .0204902{col 30}{space 2} .0266886{col 41}{space 1}    0.77{col 50}{space 3}0.443{col 58}{space 4}-.0318185{col 71}{space 3} .0727989
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0434476{col 30}{space 2} .0225549{col 41}{space 1}    1.93{col 50}{space 3}0.054{col 58}{space 4}-.0007591{col 71}{space 3} .0876544
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0496683{col 30}{space 2} .0263926{col 41}{space 1}   -1.88{col 50}{space 3}0.060{col 58}{space 4}-.1013968{col 71}{space 3} .0020602
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .6017007{col 30}{space 2} .2839704{col 41}{space 1}    2.12{col 50}{space 3}0.034{col 58}{space 4}  .045129{col 71}{space 3} 1.158272
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-1.274201{col 30}{space 2} .2198872{col 41}{space 1}   -5.79{col 50}{space 3}0.000{col 58}{space 4}-1.705172{col 71}{space 3}-.8432297
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 1.085469{col 30}{space 2} .3144899{col 41}{space 1}    3.45{col 50}{space 3}0.001{col 58}{space 4} .4690798{col 71}{space 3} 1.701857
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.5317124{col 30}{space 2} .0424025{col 41}{space 1}  -12.54{col 50}{space 3}0.000{col 58}{space 4}-.6148198{col 71}{space 3}-.4486051
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0322067{col 30}{space 2} .0036753{col 41}{space 1}    8.76{col 50}{space 3}0.000{col 58}{space 4} .0250032{col 71}{space 3} .0394101
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0004846{col 30}{space 2} .0000846{col 41}{space 1}   -5.73{col 50}{space 3}0.000{col 58}{space 4}-.0006503{col 71}{space 3}-.0003188
{txt}{space 16} {c |}
{space 12}year {c |}
{space 11}1970  {c |}{col 18}{res}{space 2} .6394442{col 30}{space 2} 911.0938{col 41}{space 1}    0.00{col 50}{space 3}0.999{col 58}{space 4}-1785.072{col 71}{space 3}  1786.35
{txt}{space 11}1971  {c |}{col 18}{res}{space 2} 14.89346{col 30}{space 2} 709.1406{col 41}{space 1}    0.02{col 50}{space 3}0.983{col 58}{space 4}-1374.997{col 71}{space 3} 1404.784
{txt}{space 11}1972  {c |}{col 18}{res}{space 2} 15.76789{col 30}{space 2} 709.1406{col 41}{space 1}    0.02{col 50}{space 3}0.982{col 58}{space 4}-1374.122{col 71}{space 3} 1405.658
{txt}{space 11}1973  {c |}{col 18}{res}{space 2} 18.09265{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.980{col 58}{space 4}-1371.797{col 71}{space 3} 1407.982
{txt}{space 11}1974  {c |}{col 18}{res}{space 2} 17.30886{col 30}{space 2} 709.1405{col 41}{space 1}    0.02{col 50}{space 3}0.981{col 58}{space 4}-1372.581{col 71}{space 3} 1407.199
{txt}{space 11}1975  {c |}{col 18}{res}{space 2} 17.80135{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.980{col 58}{space 4}-1372.088{col 71}{space 3} 1407.691
{txt}{space 11}1976  {c |}{col 18}{res}{space 2} 18.11505{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.980{col 58}{space 4}-1371.775{col 71}{space 3} 1408.005
{txt}{space 11}1977  {c |}{col 18}{res}{space 2} 18.75547{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.134{col 71}{space 3} 1408.645
{txt}{space 11}1978  {c |}{col 18}{res}{space 2} 18.55352{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.336{col 71}{space 3} 1408.443
{txt}{space 11}1979  {c |}{col 18}{res}{space 2} 18.99341{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1370.896{col 71}{space 3} 1408.883
{txt}{space 11}1980  {c |}{col 18}{res}{space 2} 18.72507{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.165{col 71}{space 3} 1408.615
{txt}{space 11}1981  {c |}{col 18}{res}{space 2} 19.05777{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1370.832{col 71}{space 3} 1408.948
{txt}{space 11}1982  {c |}{col 18}{res}{space 2} 19.57055{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-1370.319{col 71}{space 3}  1409.46
{txt}{space 11}1983  {c |}{col 18}{res}{space 2} 18.89171{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1370.998{col 71}{space 3} 1408.781
{txt}{space 11}1984  {c |}{col 18}{res}{space 2} 19.36878{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-1370.521{col 71}{space 3} 1409.259
{txt}{space 11}1985  {c |}{col 18}{res}{space 2} 18.51095{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.379{col 71}{space 3} 1408.401
{txt}{space 11}1986  {c |}{col 18}{res}{space 2} 18.85236{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.037{col 71}{space 3} 1408.742
{txt}{space 11}1987  {c |}{col 18}{res}{space 2} 19.35359{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-1370.536{col 71}{space 3} 1409.243
{txt}{space 11}1988  {c |}{col 18}{res}{space 2} 18.91929{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4} -1370.97{col 71}{space 3} 1408.809
{txt}{space 11}1989  {c |}{col 18}{res}{space 2} 18.24722{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.643{col 71}{space 3} 1408.137
{txt}{space 11}1990  {c |}{col 18}{res}{space 2} 18.38939{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}  -1371.5{col 71}{space 3} 1408.279
{txt}{space 11}1991  {c |}{col 18}{res}{space 2} 18.65392{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.236{col 71}{space 3} 1408.544
{txt}{space 11}1992  {c |}{col 18}{res}{space 2} 19.20049{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-1370.689{col 71}{space 3}  1409.09
{txt}{space 11}1993  {c |}{col 18}{res}{space 2} 19.36381{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4}-1370.526{col 71}{space 3} 1409.254
{txt}{space 11}1994  {c |}{col 18}{res}{space 2} 18.97475{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1370.915{col 71}{space 3} 1408.865
{txt}{space 11}1995  {c |}{col 18}{res}{space 2} 19.25017{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.978{col 58}{space 4} -1370.64{col 71}{space 3}  1409.14
{txt}{space 11}1996  {c |}{col 18}{res}{space 2}  18.4185{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.471{col 71}{space 3} 1408.308
{txt}{space 11}1997  {c |}{col 18}{res}{space 2} 18.38309{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.979{col 58}{space 4}-1371.507{col 71}{space 3} 1408.273
{txt}{space 11}1998  {c |}{col 18}{res}{space 2} 17.78322{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.980{col 58}{space 4}-1372.107{col 71}{space 3} 1407.673
{txt}{space 11}1999  {c |}{col 18}{res}{space 2} 17.80153{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.980{col 58}{space 4}-1372.088{col 71}{space 3} 1407.691
{txt}{space 11}2000  {c |}{col 18}{res}{space 2} 18.00885{col 30}{space 2} 709.1405{col 41}{space 1}    0.03{col 50}{space 3}0.980{col 58}{space 4}-1371.881{col 71}{space 3} 1407.899
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table24 , word label title(Table 24: Dyad Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table24.rtf"'"':Table24.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table24.txt", label"':seeout}

{com}. 
. *Model 2*
. xtlogit threat MyDyadWNeoDummy c.TestMyNeoliberal##i.BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.year, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 25893 groups (623096 obs) dropped because of all positive or
      all negative outcomes.
note: ussender omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1870.0373}  
Iteration 1:{space 3}log likelihood = {res:-1562.4425}  
Iteration 2:{space 3}log likelihood = {res:  -1533.36}  
Iteration 3:{space 3}log likelihood = {res:-1528.5043}  
Iteration 4:{space 3}log likelihood = {res:-1527.5125}  
Iteration 5:{space 3}log likelihood = {res:-1527.2777}  
Iteration 6:{space 3}log likelihood = {res:-1527.2297}  
Iteration 7:{space 3}log likelihood = {res:-1527.2195}  
Iteration 8:{space 3}log likelihood = {res:-1527.2172}  
Iteration 9:{space 3}log likelihood = {res:-1527.2166}  
Iteration 10:{space 2}log likelihood = {res:-1527.2165}  
Iteration 11:{space 2}log likelihood = {res:-1527.2165}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     7754
{txt}Group variable: {res}dyadid{col 49}{txt}Number of groups{col 68}={col 70}{res}      273

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     28.4
{txt}{col 64}max{col 68}={col 70}{res}       32

{txt}{col 49}LR chi2({res}49{txt}){col 68}={col 70}{res}   859.27
{txt}Log likelihood  = {res}-1527.2165{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                threat{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}MyDyadWNeoDummy {c |}{col 24}{res}{space 2}-.1902935{col 36}{space 2}  .290707{col 47}{space 1}   -0.65{col 56}{space 3}0.513{col 64}{space 4}-.7600687{col 77}{space 3} .3794817
{txt}{space 6}TestMyNeoliberal {c |}{col 24}{res}{space 2} 1.245745{col 36}{space 2} .2562052{col 47}{space 1}    4.86{col 56}{space 3}0.000{col 64}{space 4} .7435923{col 77}{space 3} 1.747898
{txt}{space 17}1.BIT {c |}{col 24}{res}{space 2} .8186335{col 36}{space 2} .5543415{col 47}{space 1}    1.48{col 56}{space 3}0.140{col 64}{space 4}-.2678558{col 77}{space 3} 1.905123
{txt}{space 22} {c |}
BIT#c.TestMyNeoliberal {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-4.251377{col 36}{space 2} 2.245575{col 47}{space 1}   -1.89{col 56}{space 3}0.058{col 64}{space 4}-8.652623{col 77}{space 3} .1498692
{txt}{space 22} {c |}
{space 19}IMF {c |}{col 24}{res}{space 2}-.6671068{col 36}{space 2} .4272042{col 47}{space 1}   -1.56{col 56}{space 3}0.118{col 64}{space 4}-1.504412{col 77}{space 3} .1701981
{txt}{space 19}WTO {c |}{col 24}{res}{space 2} .0622092{col 36}{space 2} .2247482{col 47}{space 1}    0.28{col 56}{space 3}0.782{col 64}{space 4}-.3782891{col 77}{space 3} .5027076
{txt}{space 14}jointdem {c |}{col 24}{res}{space 2}-.6677048{col 36}{space 2} .2626614{col 47}{space 1}   -2.54{col 56}{space 3}0.011{col 64}{space 4}-1.182512{col 77}{space 3}-.1528978
{txt}{space 9}igomember_log {c |}{col 24}{res}{space 2}-.6116202{col 36}{space 2} .3169676{col 47}{space 1}   -1.93{col 56}{space 3}0.054{col 64}{space 4}-1.232865{col 77}{space 3} .0096248
{txt}{space 11}lowtradedep {c |}{col 24}{res}{space 2} 33.92758{col 36}{space 2} 15.19295{col 47}{space 1}    2.23{col 56}{space 3}0.026{col 64}{space 4} 4.149938{col 77}{space 3} 63.70521
{txt}{space 14}ussender {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 14}polity21 {c |}{col 24}{res}{space 2} .0205859{col 36}{space 2} .0267143{col 47}{space 1}    0.77{col 56}{space 3}0.441{col 64}{space 4}-.0317732{col 77}{space 3} .0729449
{txt}{space 14}polity22 {c |}{col 24}{res}{space 2} .0429737{col 36}{space 2} .0225689{col 47}{space 1}    1.90{col 56}{space 3}0.057{col 64}{space 4}-.0012606{col 77}{space 3}  .087208
{txt}{space 10}us_targetdem {c |}{col 24}{res}{space 2}-.0467196{col 36}{space 2}  .026451{col 47}{space 1}   -1.77{col 56}{space 3}0.077{col 64}{space 4}-.0985627{col 77}{space 3} .0051235
{txt}{space 12}alliance_r {c |}{col 24}{res}{space 2} .6044505{col 36}{space 2}  .284311{col 47}{space 1}    2.13{col 56}{space 3}0.034{col 64}{space 4} .0472113{col 77}{space 3}  1.16169
{txt}{space 14}capratio {c |}{col 24}{res}{space 2}-1.269377{col 36}{space 2} .2201073{col 47}{space 1}   -5.77{col 56}{space 3}0.000{col 64}{space 4}-1.700779{col 77}{space 3}-.8379744
{txt}{space 16}cwongo {c |}{col 24}{res}{space 2} 1.081594{col 36}{space 2} .3147482{col 47}{space 1}    3.44{col 56}{space 3}0.001{col 64}{space 4} .4646984{col 77}{space 3} 1.698489
{txt}{space 8}threat_years_i {c |}{col 24}{res}{space 2}-.5310395{col 36}{space 2} .0424293{col 47}{space 1}  -12.52{col 56}{space 3}0.000{col 64}{space 4}-.6141993{col 77}{space 3}-.4478796
{txt}{space 7}threat_years2_i {c |}{col 24}{res}{space 2} .0320988{col 36}{space 2} .0036805{col 47}{space 1}    8.72{col 56}{space 3}0.000{col 64}{space 4} .0248851{col 77}{space 3} .0393126
{txt}{space 7}threat_years3_i {c |}{col 24}{res}{space 2}-.0004815{col 36}{space 2} .0000847{col 47}{space 1}   -5.68{col 56}{space 3}0.000{col 64}{space 4}-.0006476{col 77}{space 3}-.0003154
{txt}{space 22} {c |}
{space 18}year {c |}
{space 17}1970  {c |}{col 24}{res}{space 2} .6397707{col 36}{space 2} 911.7796{col 47}{space 1}    0.00{col 56}{space 3}0.999{col 64}{space 4}-1786.415{col 77}{space 3} 1787.695
{txt}{space 17}1971  {c |}{col 24}{res}{space 2} 14.89806{col 36}{space 2} 709.5262{col 47}{space 1}    0.02{col 56}{space 3}0.983{col 64}{space 4}-1375.748{col 77}{space 3} 1405.544
{txt}{space 17}1972  {c |}{col 24}{res}{space 2} 15.77274{col 36}{space 2} 709.5261{col 47}{space 1}    0.02{col 56}{space 3}0.982{col 64}{space 4}-1374.873{col 77}{space 3} 1406.418
{txt}{space 17}1973  {c |}{col 24}{res}{space 2} 18.10016{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.980{col 64}{space 4}-1372.545{col 77}{space 3} 1408.746
{txt}{space 17}1974  {c |}{col 24}{res}{space 2} 17.31709{col 36}{space 2}  709.526{col 47}{space 1}    0.02{col 56}{space 3}0.981{col 64}{space 4}-1373.328{col 77}{space 3} 1407.963
{txt}{space 17}1975  {c |}{col 24}{res}{space 2} 17.80899{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.980{col 64}{space 4}-1372.836{col 77}{space 3} 1408.454
{txt}{space 17}1976  {c |}{col 24}{res}{space 2} 18.12371{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.980{col 64}{space 4}-1372.522{col 77}{space 3} 1408.769
{txt}{space 17}1977  {c |}{col 24}{res}{space 2} 18.76695{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.879{col 77}{space 3} 1409.412
{txt}{space 17}1978  {c |}{col 24}{res}{space 2} 18.56622{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1372.079{col 77}{space 3} 1409.212
{txt}{space 17}1979  {c |}{col 24}{res}{space 2} 19.00406{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.641{col 77}{space 3}  1409.65
{txt}{space 17}1980  {c |}{col 24}{res}{space 2} 18.73801{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.907{col 77}{space 3} 1409.383
{txt}{space 17}1981  {c |}{col 24}{res}{space 2} 19.07029{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.575{col 77}{space 3} 1409.716
{txt}{space 17}1982  {c |}{col 24}{res}{space 2} 19.57687{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.978{col 64}{space 4}-1371.069{col 77}{space 3} 1410.222
{txt}{space 17}1983  {c |}{col 24}{res}{space 2} 18.89982{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.746{col 77}{space 3} 1409.545
{txt}{space 17}1984  {c |}{col 24}{res}{space 2} 19.37836{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.978{col 64}{space 4}-1371.267{col 77}{space 3} 1410.024
{txt}{space 17}1985  {c |}{col 24}{res}{space 2} 18.51751{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1372.128{col 77}{space 3} 1409.163
{txt}{space 17}1986  {c |}{col 24}{res}{space 2} 18.86503{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4} -1371.78{col 77}{space 3}  1409.51
{txt}{space 17}1987  {c |}{col 24}{res}{space 2} 19.36848{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.978{col 64}{space 4}-1371.277{col 77}{space 3} 1410.014
{txt}{space 17}1988  {c |}{col 24}{res}{space 2} 18.92421{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.721{col 77}{space 3}  1409.57
{txt}{space 17}1989  {c |}{col 24}{res}{space 2} 18.25399{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1372.391{col 77}{space 3} 1408.899
{txt}{space 17}1990  {c |}{col 24}{res}{space 2} 18.39492{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1372.251{col 77}{space 3}  1409.04
{txt}{space 17}1991  {c |}{col 24}{res}{space 2} 18.66996{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.976{col 77}{space 3} 1409.315
{txt}{space 17}1992  {c |}{col 24}{res}{space 2} 19.22109{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.978{col 64}{space 4}-1371.424{col 77}{space 3} 1409.867
{txt}{space 17}1993  {c |}{col 24}{res}{space 2} 19.38194{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.978{col 64}{space 4}-1371.264{col 77}{space 3} 1410.027
{txt}{space 17}1994  {c |}{col 24}{res}{space 2} 18.99344{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1371.652{col 77}{space 3} 1409.639
{txt}{space 17}1995  {c |}{col 24}{res}{space 2} 19.25493{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.978{col 64}{space 4}-1371.391{col 77}{space 3}   1409.9
{txt}{space 17}1996  {c |}{col 24}{res}{space 2} 18.40776{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1372.238{col 77}{space 3} 1409.053
{txt}{space 17}1997  {c |}{col 24}{res}{space 2} 18.38186{col 36}{space 2}  709.526{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-1372.264{col 77}{space 3} 1409.027
{txt}{space 17}1998  {c |}{col 24}{res}{space 2}  17.7975{col 36}{space 2} 709.5261{col 47}{space 1}    0.03{col 56}{space 3}0.980{col 64}{space 4}-1372.848{col 77}{space 3} 1408.443
{txt}{space 17}1999  {c |}{col 24}{res}{space 2} 17.79956{col 36}{space 2} 709.5261{col 47}{space 1}    0.03{col 56}{space 3}0.980{col 64}{space 4}-1372.846{col 77}{space 3} 1408.445
{txt}{space 17}2000  {c |}{col 24}{res}{space 2}  18.0031{col 36}{space 2} 709.5261{col 47}{space 1}    0.03{col 56}{space 3}0.980{col 64}{space 4}-1372.642{col 77}{space 3} 1408.649
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table24 , word label title(Table 24: Dyad Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table24.rtf"'"':Table24.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table24.txt", label"':seeout}

{com}. 
. *Model 3*
. xtlogit threat SenderGovt TargetGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.year, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 15067 groups (227777 obs) dropped because of all positive or
      all negative outcomes.
note: ussender omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-956.56402}  
Iteration 1:{space 3}log likelihood = {res:-923.92509}  
Iteration 2:{space 3}log likelihood = {res:-923.38592}  
Iteration 3:{space 3}log likelihood = {res:-923.38554}  
Iteration 4:{space 3}log likelihood = {res:-923.38554}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     3723
{txt}Group variable: {res}dyadid{col 49}{txt}Number of groups{col 68}={col 70}{res}      157

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        4
{txt}{col 64}avg{col 68}={col 70}{res}     23.7
{txt}{col 64}max{col 68}={col 70}{res}       26

{txt}{col 49}LR chi2({res}42{txt}){col 68}={col 70}{res}   398.95
{txt}Log likelihood  = {res}-923.38554{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.3121337{col 29}{space 2} .1776653{col 40}{space 1}   -1.76{col 49}{space 3}0.079{col 57}{space 4}-.6603513{col 70}{space 3}  .036084
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .0243887{col 29}{space 2} .1670401{col 40}{space 1}    0.15{col 49}{space 3}0.884{col 57}{space 4}-.3030039{col 70}{space 3} .3517812
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}   .21455{col 29}{space 2} .5316211{col 40}{space 1}    0.40{col 49}{space 3}0.687{col 57}{space 4}-.8274083{col 70}{space 3} 1.256508
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.6277244{col 29}{space 2} .7983218{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4}-2.192406{col 70}{space 3} .9369576
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0996374{col 29}{space 2}  .319541{col 40}{space 1}   -0.31{col 49}{space 3}0.755{col 57}{space 4}-.7259262{col 70}{space 3} .5266515
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7502898{col 29}{space 2} .3764413{col 40}{space 1}   -1.99{col 49}{space 3}0.046{col 57}{space 4}-1.488101{col 70}{space 3}-.0124784
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}-.9776592{col 29}{space 2} .5950895{col 40}{space 1}   -1.64{col 49}{space 3}0.100{col 57}{space 4}-2.144013{col 70}{space 3} .1886948
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 3.173764{col 29}{space 2} 19.87677{col 40}{space 1}    0.16{col 49}{space 3}0.873{col 57}{space 4}-35.78399{col 70}{space 3} 42.13152
{txt}{space 7}ussender {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 7}polity21 {c |}{col 17}{res}{space 2} .0119066{col 29}{space 2} .0602584{col 40}{space 1}    0.20{col 49}{space 3}0.843{col 57}{space 4}-.1061976{col 70}{space 3} .1300108
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0732391{col 29}{space 2} .0409183{col 40}{space 1}    1.79{col 49}{space 3}0.073{col 57}{space 4}-.0069592{col 70}{space 3} .1534375
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1055062{col 29}{space 2} .0428718{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4}-.1895334{col 70}{space 3} -.021479
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.059614{col 29}{space 2} .4914141{col 40}{space 1}    2.16{col 49}{space 3}0.031{col 57}{space 4} .0964604{col 70}{space 3} 2.022768
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-1.070688{col 29}{space 2} .3933705{col 40}{space 1}   -2.72{col 49}{space 3}0.006{col 57}{space 4}-1.841681{col 70}{space 3}-.2996964
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.566153{col 29}{space 2} .5209676{col 40}{space 1}    3.01{col 49}{space 3}0.003{col 57}{space 4} .5450754{col 70}{space 3} 2.587231
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.4902787{col 29}{space 2} .0561251{col 40}{space 1}   -8.74{col 49}{space 3}0.000{col 57}{space 4}-.6002819{col 70}{space 3}-.3802756
{txt}threat_years2_i {c |}{col 17}{res}{space 2}  .028637{col 29}{space 2}  .004854{col 40}{space 1}    5.90{col 49}{space 3}0.000{col 57}{space 4} .0191233{col 70}{space 3} .0381507
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004303{col 29}{space 2} .0001106{col 40}{space 1}   -3.89{col 49}{space 3}0.000{col 57}{space 4} -.000647{col 70}{space 3}-.0002135
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1976  {c |}{col 17}{res}{space 2} .0366489{col 29}{space 2} .5089552{col 40}{space 1}    0.07{col 49}{space 3}0.943{col 57}{space 4} -.960885{col 70}{space 3} 1.034183
{txt}{space 10}1977  {c |}{col 17}{res}{space 2} .4814523{col 29}{space 2} .5071078{col 40}{space 1}    0.95{col 49}{space 3}0.342{col 57}{space 4}-.5124608{col 70}{space 3} 1.475365
{txt}{space 10}1978  {c |}{col 17}{res}{space 2}  .395261{col 29}{space 2} .5199674{col 40}{space 1}    0.76{col 49}{space 3}0.447{col 57}{space 4}-.6238565{col 70}{space 3} 1.414378
{txt}{space 10}1979  {c |}{col 17}{res}{space 2}-.0217669{col 29}{space 2} .5421601{col 40}{space 1}   -0.04{col 49}{space 3}0.968{col 57}{space 4}-1.084381{col 70}{space 3} 1.040847
{txt}{space 10}1980  {c |}{col 17}{res}{space 2}  .473528{col 29}{space 2} .5375926{col 40}{space 1}    0.88{col 49}{space 3}0.378{col 57}{space 4}-.5801341{col 70}{space 3}  1.52719
{txt}{space 10}1981  {c |}{col 17}{res}{space 2} 1.120613{col 29}{space 2} .4937063{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4}  .152966{col 70}{space 3} 2.088259
{txt}{space 10}1982  {c |}{col 17}{res}{space 2} 1.257118{col 29}{space 2} .4852615{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4}  .306023{col 70}{space 3} 2.208213
{txt}{space 10}1983  {c |}{col 17}{res}{space 2} .8473847{col 29}{space 2}  .502866{col 40}{space 1}    1.69{col 49}{space 3}0.092{col 57}{space 4}-.1382145{col 70}{space 3} 1.832984
{txt}{space 10}1984  {c |}{col 17}{res}{space 2} 1.563674{col 29}{space 2} .4801867{col 40}{space 1}    3.26{col 49}{space 3}0.001{col 57}{space 4} .6225255{col 70}{space 3} 2.504823
{txt}{space 10}1985  {c |}{col 17}{res}{space 2} .7068233{col 29}{space 2} .5141557{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4}-.3009035{col 70}{space 3}  1.71455
{txt}{space 10}1986  {c |}{col 17}{res}{space 2} 1.372159{col 29}{space 2} .4965873{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .3988654{col 70}{space 3} 2.345452
{txt}{space 10}1987  {c |}{col 17}{res}{space 2} 1.869407{col 29}{space 2} .4793542{col 40}{space 1}    3.90{col 49}{space 3}0.000{col 57}{space 4} .9298901{col 70}{space 3} 2.808924
{txt}{space 10}1988  {c |}{col 17}{res}{space 2} 1.551935{col 29}{space 2} .4894931{col 40}{space 1}    3.17{col 49}{space 3}0.002{col 57}{space 4} .5925462{col 70}{space 3} 2.511324
{txt}{space 10}1989  {c |}{col 17}{res}{space 2} 1.131603{col 29}{space 2} .5031659{col 40}{space 1}    2.25{col 49}{space 3}0.025{col 57}{space 4} .1454155{col 70}{space 3}  2.11779
{txt}{space 10}1990  {c |}{col 17}{res}{space 2} 1.246727{col 29}{space 2} .5025235{col 40}{space 1}    2.48{col 49}{space 3}0.013{col 57}{space 4} .2617985{col 70}{space 3} 2.231655
{txt}{space 10}1991  {c |}{col 17}{res}{space 2} 1.189009{col 29}{space 2} .5105138{col 40}{space 1}    2.33{col 49}{space 3}0.020{col 57}{space 4} .1884208{col 70}{space 3} 2.189598
{txt}{space 10}1992  {c |}{col 17}{res}{space 2} 1.936263{col 29}{space 2} .4922753{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4} .9714214{col 70}{space 3} 2.901105
{txt}{space 10}1993  {c |}{col 17}{res}{space 2} 2.419389{col 29}{space 2} .4878392{col 40}{space 1}    4.96{col 49}{space 3}0.000{col 57}{space 4} 1.463242{col 70}{space 3} 3.375537
{txt}{space 10}1994  {c |}{col 17}{res}{space 2} 1.862917{col 29}{space 2} .5079514{col 40}{space 1}    3.67{col 49}{space 3}0.000{col 57}{space 4} .8673509{col 70}{space 3} 2.858484
{txt}{space 10}1995  {c |}{col 17}{res}{space 2} 2.094212{col 29}{space 2} .5547818{col 40}{space 1}    3.77{col 49}{space 3}0.000{col 57}{space 4}  1.00686{col 70}{space 3} 3.181565
{txt}{space 10}1996  {c |}{col 17}{res}{space 2} 1.537578{col 29}{space 2} .5639164{col 40}{space 1}    2.73{col 49}{space 3}0.006{col 57}{space 4}  .432322{col 70}{space 3} 2.642834
{txt}{space 10}1997  {c |}{col 17}{res}{space 2} 1.123675{col 29}{space 2} .5642651{col 40}{space 1}    1.99{col 49}{space 3}0.046{col 57}{space 4} .0177359{col 70}{space 3} 2.229615
{txt}{space 10}1998  {c |}{col 17}{res}{space 2} 1.005311{col 29}{space 2} .5772751{col 40}{space 1}    1.74{col 49}{space 3}0.082{col 57}{space 4} -.126127{col 70}{space 3}  2.13675
{txt}{space 10}1999  {c |}{col 17}{res}{space 2} .6883021{col 29}{space 2} .5820197{col 40}{space 1}    1.18{col 49}{space 3}0.237{col 57}{space 4}-.4524356{col 70}{space 3}  1.82904
{txt}{space 10}2000  {c |}{col 17}{res}{space 2} .9175348{col 29}{space 2} .5869254{col 40}{space 1}    1.56{col 49}{space 3}0.118{col 57}{space 4}-.2328179{col 70}{space 3} 2.067887
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table24 , word label title(Table 24: Dyad Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table24.rtf"'"':Table24.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table24.txt", label"':seeout}

{com}. 
. *Model 4*
. xtlogit threat FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i i.year, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 21825 groups (427945 obs) dropped because of all positive or
      all negative outcomes.
note: IMF omitted because of no within-group variance.
note: ussender omitted because of no within-group variance.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1494.2878}  
Iteration 1:{space 3}log likelihood = {res:-1326.0332}  
Iteration 2:{space 3}log likelihood = {res:-1310.8133}  
Iteration 3:{space 3}log likelihood = {res:-1308.1815}  
Iteration 4:{space 3}log likelihood = {res:-1307.6024}  
Iteration 5:{space 3}log likelihood = {res:-1307.4781}  
Iteration 6:{space 3}log likelihood = {res:-1307.4503}  
Iteration 7:{space 3}log likelihood = {res:-1307.4459}  
Iteration 8:{space 3}log likelihood = {res:-1307.4454}  
Iteration 9:{space 3}log likelihood = {res:-1307.4453}  
Iteration 10:{space 2}log likelihood = {res:-1307.4453}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 68}={col 70}{res}     6325
{txt}Group variable: {res}dyadid{col 49}{txt}Number of groups{col 68}={col 70}{res}      227

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}        3
{txt}{col 64}avg{col 68}={col 70}{res}     27.9
{txt}{col 64}max{col 68}={col 70}{res}       31

{txt}{col 49}LR chi2({res}45{txt}){col 68}={col 70}{res}   699.97
{txt}Log likelihood  = {res}-1307.4453{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2}-.1210293{col 29}{space 2} .0615188{col 40}{space 1}   -1.97{col 49}{space 3}0.049{col 57}{space 4}-.2416039{col 70}{space 3}-.0004547
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .5038835{col 29}{space 2} .4806905{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}-.4382524{col 70}{space 3}  1.44602
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 12}WTO {c |}{col 17}{res}{space 2} .0933886{col 29}{space 2} .2667503{col 40}{space 1}    0.35{col 49}{space 3}0.726{col 57}{space 4}-.4294325{col 70}{space 3} .6162097
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5686319{col 29}{space 2} .2874639{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4}-1.132051{col 70}{space 3} -.005213
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}  .594576{col 29}{space 2} .8776752{col 40}{space 1}    0.68{col 49}{space 3}0.498{col 57}{space 4}-1.125636{col 70}{space 3} 2.314788
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 16.82183{col 29}{space 2} 14.16021{col 40}{space 1}    1.19{col 49}{space 3}0.235{col 57}{space 4}-10.93167{col 70}{space 3} 44.57533
{txt}{space 7}ussender {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 7}polity21 {c |}{col 17}{res}{space 2} .0201137{col 29}{space 2} .0309557{col 40}{space 1}    0.65{col 49}{space 3}0.516{col 57}{space 4}-.0405583{col 70}{space 3} .0807857
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} -.022657{col 29}{space 2} .0275165{col 40}{space 1}   -0.82{col 49}{space 3}0.410{col 57}{space 4}-.0765884{col 70}{space 3} .0312743
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0185785{col 29}{space 2} .0293144{col 40}{space 1}    0.63{col 49}{space 3}0.526{col 57}{space 4}-.0388767{col 70}{space 3} .0760337
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2172649{col 29}{space 2} .3470617{col 40}{space 1}    0.63{col 49}{space 3}0.531{col 57}{space 4}-.4629637{col 70}{space 3} .8974934
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-1.799051{col 29}{space 2} .2826818{col 40}{space 1}   -6.36{col 49}{space 3}0.000{col 57}{space 4}-2.353097{col 70}{space 3}-1.245005
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.171648{col 29}{space 2} .4098554{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} .3683457{col 70}{space 3} 1.974949
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5440981{col 29}{space 2} .0465117{col 40}{space 1}  -11.70{col 49}{space 3}0.000{col 57}{space 4}-.6352593{col 70}{space 3}-.4529369
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0319287{col 29}{space 2} .0040008{col 40}{space 1}    7.98{col 49}{space 3}0.000{col 57}{space 4} .0240873{col 70}{space 3}   .03977
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004606{col 29}{space 2} .0000913{col 40}{space 1}   -5.04{col 49}{space 3}0.000{col 57}{space 4}-.0006396{col 70}{space 3}-.0002816
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1971  {c |}{col 17}{res}{space 2} 13.61864{col 29}{space 2} 418.3513{col 40}{space 1}    0.03{col 49}{space 3}0.974{col 57}{space 4}-806.3348{col 70}{space 3} 833.5721
{txt}{space 10}1972  {c |}{col 17}{res}{space 2} 13.90938{col 29}{space 2} 418.3513{col 40}{space 1}    0.03{col 49}{space 3}0.973{col 57}{space 4}-806.0441{col 70}{space 3} 833.8629
{txt}{space 10}1973  {c |}{col 17}{res}{space 2} 16.44893{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.5039{col 70}{space 3} 836.4018
{txt}{space 10}1974  {c |}{col 17}{res}{space 2}   15.978{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.970{col 57}{space 4}-803.9749{col 70}{space 3} 835.9309
{txt}{space 10}1975  {c |}{col 17}{res}{space 2} 16.12607{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.8269{col 70}{space 3}  836.079
{txt}{space 10}1976  {c |}{col 17}{res}{space 2} 16.28383{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.6692{col 70}{space 3} 836.2368
{txt}{space 10}1977  {c |}{col 17}{res}{space 2} 16.77459{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.1784{col 70}{space 3} 836.7276
{txt}{space 10}1978  {c |}{col 17}{res}{space 2} 16.71862{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.2344{col 70}{space 3} 836.6716
{txt}{space 10}1979  {c |}{col 17}{res}{space 2} 17.25888{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.6941{col 70}{space 3} 837.2119
{txt}{space 10}1980  {c |}{col 17}{res}{space 2}  16.9452{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.0078{col 70}{space 3} 836.8982
{txt}{space 10}1981  {c |}{col 17}{res}{space 2} 17.46487{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.4881{col 70}{space 3} 837.4178
{txt}{space 10}1982  {c |}{col 17}{res}{space 2} 17.17845{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.7745{col 70}{space 3} 837.1314
{txt}{space 10}1983  {c |}{col 17}{res}{space 2} 16.67888{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.2741{col 70}{space 3} 836.6319
{txt}{space 10}1984  {c |}{col 17}{res}{space 2} 17.31907{col 29}{space 2}  418.351{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.6339{col 70}{space 3}  837.272
{txt}{space 10}1985  {c |}{col 17}{res}{space 2} 16.39286{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.5602{col 70}{space 3} 836.3459
{txt}{space 10}1986  {c |}{col 17}{res}{space 2} 16.82531{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.1277{col 70}{space 3} 836.7783
{txt}{space 10}1987  {c |}{col 17}{res}{space 2} 17.42156{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.5314{col 70}{space 3} 837.3746
{txt}{space 10}1988  {c |}{col 17}{res}{space 2} 16.98479{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-802.9683{col 70}{space 3} 836.9378
{txt}{space 10}1989  {c |}{col 17}{res}{space 2} 16.54624{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.4069{col 70}{space 3} 836.4993
{txt}{space 10}1990  {c |}{col 17}{res}{space 2} 16.65015{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4} -803.303{col 70}{space 3} 836.6033
{txt}{space 10}1991  {c |}{col 17}{res}{space 2} 16.76664{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-803.1865{col 70}{space 3} 836.7198
{txt}{space 10}1992  {c |}{col 17}{res}{space 2} 17.43883{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.5143{col 70}{space 3} 837.3919
{txt}{space 10}1993  {c |}{col 17}{res}{space 2} 17.96851{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.966{col 57}{space 4}-801.9846{col 70}{space 3} 837.9216
{txt}{space 10}1994  {c |}{col 17}{res}{space 2} 17.26485{col 29}{space 2} 418.3511{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.6883{col 70}{space 3}  837.218
{txt}{space 10}1995  {c |}{col 17}{res}{space 2} 17.38946{col 29}{space 2} 418.3512{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4}-802.5638{col 70}{space 3} 837.3428
{txt}{space 10}1996  {c |}{col 17}{res}{space 2} 16.48565{col 29}{space 2} 418.3512{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.4677{col 70}{space 3}  836.439
{txt}{space 10}1997  {c |}{col 17}{res}{space 2} 16.44967{col 29}{space 2} 418.3512{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.5037{col 70}{space 3}  836.403
{txt}{space 10}1998  {c |}{col 17}{res}{space 2} 16.07415{col 29}{space 2} 418.3513{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-803.8793{col 70}{space 3} 836.0276
{txt}{space 10}1999  {c |}{col 17}{res}{space 2} 15.70346{col 29}{space 2} 418.3513{col 40}{space 1}    0.04{col 49}{space 3}0.970{col 57}{space 4}  -804.25{col 70}{space 3} 835.6569
{txt}{space 10}2000  {c |}{col 17}{res}{space 2} 15.94075{col 29}{space 2} 418.3513{col 40}{space 1}    0.04{col 49}{space 3}0.970{col 57}{space 4}-804.0127{col 70}{space 3} 835.8942
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table24 , word label title(Table 24: Dyad Fixed Effects) bdec(3)
{txt}{stata `"shellout using `"Table24.rtf"'"':Table24.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table24.txt", label"':seeout}

{com}. 
. 
. 
. **************************************Additional Reviewer 3 Additions************************************
. ********Additive vs. Shared*********
. gen AddIdeology = (NewSenderIdeology + NewTargetIdeology) if (NewSenderIdeology!=. & NewTargetIdeology!=.)
{txt}(410289 missing values generated)

{com}. gen AddFinOpen = (senderrestrictions + targetrestrictions) if (senderrestrictions!=. & targetrestrictions!=.)
{txt}(482149 missing values generated)

{com}. gen DyadFinOpen = ((senderkaopen + targetkaopen)/2) 
{txt}(367757 missing values generated)

{com}. 
. ****Table 30****
. *Models 1 and 2*
. heckprob imposition WBScaleGovt AddIdeology BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=WBScaleGovt AddIdeology BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-484.72777}  
Iteration 1:{space 3}log pseudolikelihood = {res:-427.82598}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -426.669}  
Iteration 3:{space 3}log pseudolikelihood = {res:-426.65726}  
Iteration 4:{space 3}log pseudolikelihood = {res:-426.65726}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4155.1873}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3128.1519}  
Iteration 3:{space 3}log pseudolikelihood = {res: -3099.874}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3099.4969}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3099.4967}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-555.21089}  
Iteration 1:{space 3}log pseudolikelihood = {res:-425.67378}  
Iteration 2:{space 3}log pseudolikelihood = {res:-423.16335}  
Iteration 3:{space 3}log pseudolikelihood = {res:-423.11292}  
Iteration 4:{space 3}log pseudolikelihood = {res:-423.11282}  
Iteration 5:{space 3}log pseudolikelihood = {res:-423.11282}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3522.8086}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3522.5561}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3522.5557}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   442576
{txt}                                                Censored obs       = {res}   441775
                                                {txt}Uncensored obs     = {res}      801

                                                {txt}Wald chi2({res}15{txt})      = {res}   115.20
{txt}Log pseudolikelihood = {res}-3522.556                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0651965{col 29}{space 2} .0590223{col 40}{space 1}   -1.10{col 49}{space 3}0.269{col 57}{space 4}-.1808781{col 70}{space 3} .0504852
{txt}{space 4}AddIdeology {c |}{col 17}{res}{space 2} .1307313{col 29}{space 2} .0504084{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .0319328{col 70}{space 3} .2295299
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2954648{col 29}{space 2} .5545642{col 40}{space 1}    0.53{col 49}{space 3}0.594{col 57}{space 4}-.7914611{col 70}{space 3} 1.382391
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0007024{col 29}{space 2} .4962292{col 40}{space 1}    0.00{col 49}{space 3}0.999{col 57}{space 4}-.9718889{col 70}{space 3} .9732937
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3306261{col 29}{space 2} .1617629{col 40}{space 1}    2.04{col 49}{space 3}0.041{col 57}{space 4} .0135767{col 70}{space 3} .6476755
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7528431{col 29}{space 2} .2415283{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4} -1.22623{col 70}{space 3}-.2794562
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.013941{col 29}{space 2} .2822269{col 40}{space 1}    3.59{col 49}{space 3}0.000{col 57}{space 4} .4607867{col 70}{space 3} 1.567096
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} .0796255{col 29}{space 2} 5.219331{col 40}{space 1}    0.02{col 49}{space 3}0.988{col 57}{space 4}-10.15008{col 70}{space 3} 10.30933
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.219623{col 29}{space 2} .2727462{col 40}{space 1}    4.47{col 49}{space 3}0.000{col 57}{space 4} .6850507{col 70}{space 3} 1.754196
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0211003{col 29}{space 2} .0223985{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4}-.0650006{col 70}{space 3} .0227999
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .017807{col 29}{space 2} .0190149{col 40}{space 1}    0.94{col 49}{space 3}0.349{col 57}{space 4}-.0194614{col 70}{space 3} .0550755
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0286311{col 29}{space 2} .0215346{col 40}{space 1}    1.33{col 49}{space 3}0.184{col 57}{space 4}-.0135759{col 70}{space 3} .0708381
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.1136834{col 29}{space 2} .1723429{col 40}{space 1}   -0.66{col 49}{space 3}0.509{col 57}{space 4}-.4514692{col 70}{space 3} .2241024
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0982257{col 29}{space 2} .0490258{col 40}{space 1}   -2.00{col 49}{space 3}0.045{col 57}{space 4}-.1943144{col 70}{space 3} -.002137
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .1106299{col 29}{space 2}  .324304{col 40}{space 1}    0.34{col 49}{space 3}0.733{col 57}{space 4}-.5249941{col 70}{space 3}  .746254
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.486051{col 29}{space 2} 1.161649{col 40}{space 1}   -4.72{col 49}{space 3}0.000{col 57}{space 4} -7.76284{col 70}{space 3}-3.209261
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0490253{col 29}{space 2} .0273517{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4}-.1026335{col 70}{space 3}  .004583
{txt}{space 4}AddIdeology {c |}{col 17}{res}{space 2} .0175558{col 29}{space 2} .0183072{col 40}{space 1}    0.96{col 49}{space 3}0.338{col 57}{space 4}-.0183255{col 70}{space 3} .0534372
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.0375801{col 29}{space 2} .1935716{col 40}{space 1}   -0.19{col 49}{space 3}0.846{col 57}{space 4}-.4169736{col 70}{space 3} .3418133
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0512073{col 29}{space 2} .1624739{col 40}{space 1}    0.32{col 49}{space 3}0.753{col 57}{space 4}-.2672357{col 70}{space 3} .3696503
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}  -.10745{col 29}{space 2} .0667483{col 40}{space 1}   -1.61{col 49}{space 3}0.107{col 57}{space 4}-.2382742{col 70}{space 3} .0233741
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1657414{col 29}{space 2} .1131794{col 40}{space 1}   -1.46{col 49}{space 3}0.143{col 57}{space 4}-.3875689{col 70}{space 3} .0560861
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .8180578{col 29}{space 2} .1623359{col 40}{space 1}    5.04{col 49}{space 3}0.000{col 57}{space 4} .4998854{col 70}{space 3}  1.13623
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 10.16112{col 29}{space 2} 2.926626{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4}  4.42504{col 70}{space 3}  15.8972
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 2.037814{col 29}{space 2}  .135229{col 40}{space 1}   15.07{col 49}{space 3}0.000{col 57}{space 4}  1.77277{col 70}{space 3} 2.302858
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0151533{col 29}{space 2} .0072574{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4} .0009291{col 70}{space 3} .0293775
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0184057{col 29}{space 2} .0077206{col 40}{space 1}    2.38{col 49}{space 3}0.017{col 57}{space 4} .0032737{col 70}{space 3} .0335377
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0358404{col 29}{space 2} .0114733{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4}-.0583276{col 70}{space 3}-.0133532
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .3960286{col 29}{space 2} .0959104{col 40}{space 1}    4.13{col 49}{space 3}0.000{col 57}{space 4} .2080476{col 70}{space 3} .5840096
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0160246{col 29}{space 2} .0165078{col 40}{space 1}   -0.97{col 49}{space 3}0.332{col 57}{space 4}-.0483793{col 70}{space 3} .0163301
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.276033{col 29}{space 2} .1638053{col 40}{space 1}    7.79{col 49}{space 3}0.000{col 57}{space 4} .9549805{col 70}{space 3} 1.597086
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2809768{col 29}{space 2} .0222716{col 40}{space 1}  -12.62{col 49}{space 3}0.000{col 57}{space 4}-.3246283{col 70}{space 3}-.2373253
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0157785{col 29}{space 2} .0015909{col 40}{space 1}    9.92{col 49}{space 3}0.000{col 57}{space 4} .0126605{col 70}{space 3} .0188965
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002711{col 29}{space 2} .0000344{col 40}{space 1}   -7.89{col 49}{space 3}0.000{col 57}{space 4}-.0003385{col 70}{space 3}-.0002037
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.959481{col 29}{space 2} .5788557{col 40}{space 1}   -8.57{col 49}{space 3}0.000{col 57}{space 4}-6.094017{col 70}{space 3}-3.824945
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .3560111{col 29}{space 2} .1587683{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} .0448309{col 70}{space 3} .6671913
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .3416957{col 29}{space 2} .1402312{col 57}{space 4} .0448009{col 70}{space 3} .5831293
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    5.03   {txt}Prob > chi2 = {res}0.0249
{txt}
{com}. outreg2 using Table30 , word label title(Table 30: Additive vs. Shared Ideology) bdec(3)
{txt}{stata `"shellout using `"Table30.rtf"'"':Table30.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table30.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat WBScaleGovt AddIdeology BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5858.1944}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3967.0963}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3221.3055}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3125.0879}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3122.3028}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3122.2914}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3122.2914}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    442576
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   1981.91
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3122.2914{txt}{col 51}Pseudo R2{col 67}= {res}    0.4670

{txt}{ralign 81:(Std. Err. adjusted for {res:20838} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WBScaleGovt {c |}{col 17}{res}{space 2} -.113511{col 29}{space 2} .0719691{col 40}{space 1}   -1.58{col 49}{space 3}0.115{col 57}{space 4}-.2545678{col 70}{space 3} .0275458
{txt}{space 4}AddIdeology {c |}{col 17}{res}{space 2} .0319086{col 29}{space 2} .0512229{col 40}{space 1}    0.62{col 49}{space 3}0.533{col 57}{space 4}-.0684864{col 70}{space 3} .1323037
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1184972{col 29}{space 2} .4616692{col 40}{space 1}   -0.26{col 49}{space 3}0.797{col 57}{space 4}-1.023352{col 70}{space 3} .7863578
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .4399249{col 29}{space 2} .4422195{col 40}{space 1}    0.99{col 49}{space 3}0.320{col 57}{space 4}-.4268094{col 70}{space 3} 1.306659
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3771476{col 29}{space 2} .1695365{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4}-.7094331{col 70}{space 3} -.044862
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3533722{col 29}{space 2} .3186807{col 40}{space 1}   -1.11{col 49}{space 3}0.267{col 57}{space 4}-.9779749{col 70}{space 3} .2712305
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.924348{col 29}{space 2} .4443872{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} 1.053365{col 70}{space 3} 2.795331
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 23.28208{col 29}{space 2}  6.53969{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} 10.46452{col 70}{space 3} 36.09963
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.079362{col 29}{space 2} .3758958{col 40}{space 1}   13.51{col 49}{space 3}0.000{col 57}{space 4}  4.34262{col 70}{space 3} 5.816104
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0535892{col 29}{space 2} .0223519{col 40}{space 1}    2.40{col 49}{space 3}0.017{col 57}{space 4} .0097803{col 70}{space 3} .0973982
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0658847{col 29}{space 2} .0245557{col 40}{space 1}    2.68{col 49}{space 3}0.007{col 57}{space 4} .0177563{col 70}{space 3}  .114013
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1135943{col 29}{space 2} .0275142{col 40}{space 1}   -4.13{col 49}{space 3}0.000{col 57}{space 4} -.167521{col 70}{space 3}-.0596675
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .9437205{col 29}{space 2} .2537474{col 40}{space 1}    3.72{col 49}{space 3}0.000{col 57}{space 4} .4463848{col 70}{space 3} 1.441056
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0643066{col 29}{space 2} .0502891{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4}-.1628715{col 70}{space 3} .0342583
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 3.186004{col 29}{space 2} .4889613{col 40}{space 1}    6.52{col 49}{space 3}0.000{col 57}{space 4} 2.227657{col 70}{space 3}  4.14435
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2} -.640746{col 29}{space 2} .0583647{col 40}{space 1}  -10.98{col 49}{space 3}0.000{col 57}{space 4}-.7551386{col 70}{space 3}-.5263534
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0371659{col 29}{space 2} .0041397{col 40}{space 1}    8.98{col 49}{space 3}0.000{col 57}{space 4} .0290521{col 70}{space 3} .0452796
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006525{col 29}{space 2}  .000089{col 40}{space 1}   -7.33{col 49}{space 3}0.000{col 57}{space 4} -.000827{col 70}{space 3} -.000478
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.91607{col 29}{space 2} 1.508432{col 40}{space 1}   -7.90{col 49}{space 3}0.000{col 57}{space 4}-14.87254{col 70}{space 3}-8.959595
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table30 , word label title(Table 30: Additive vs. Shared Ideology) bdec(3)
{txt}{stata `"shellout using `"Table30.rtf"'"':Table30.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table30.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition WBScaleGovt AddIdeology BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-484.72777}  
Iteration 1:{space 3}log pseudolikelihood = {res:-430.11039}  
Iteration 2:{space 3}log pseudolikelihood = {res:-427.30512}  
Iteration 3:{space 3}log pseudolikelihood = {res:-427.25311}  
Iteration 4:{space 3}log pseudolikelihood = {res:-427.25304}  
Iteration 5:{space 3}log pseudolikelihood = {res:-427.25304}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       801
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     72.87
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-427.25304{txt}{col 51}Pseudo R2{col 67}= {res}    0.1186

{txt}{ralign 79:(Std. Err. adjusted for {res:211} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.1013757{col 27}{space 2} .1065676{col 38}{space 1}   -0.95{col 47}{space 3}0.341{col 55}{space 4}-.3102443{col 68}{space 3} .1074929
{txt}{space 2}AddIdeology {c |}{col 15}{res}{space 2} .2344424{col 27}{space 2} .0852921{col 38}{space 1}    2.75{col 47}{space 3}0.006{col 55}{space 4}  .067273{col 68}{space 3} .4016118
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .5661032{col 27}{space 2} 1.058583{col 38}{space 1}    0.53{col 47}{space 3}0.593{col 55}{space 4}-1.508682{col 68}{space 3} 2.640889
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.0686743{col 27}{space 2} .8855702{col 38}{space 1}   -0.08{col 47}{space 3}0.938{col 55}{space 4} -1.80436{col 68}{space 3} 1.667011
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6044817{col 27}{space 2} .2840037{col 38}{space 1}    2.13{col 47}{space 3}0.033{col 55}{space 4} .0478446{col 68}{space 3} 1.161119
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.299218{col 27}{space 2} .4279379{col 38}{space 1}   -3.04{col 47}{space 3}0.002{col 55}{space 4}-2.137961{col 68}{space 3}-.4604753
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.434574{col 27}{space 2} .5089775{col 38}{space 1}    2.82{col 47}{space 3}0.005{col 55}{space 4} .4369964{col 68}{space 3} 2.432152
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-3.896177{col 27}{space 2} 8.332479{col 38}{space 1}   -0.47{col 47}{space 3}0.640{col 55}{space 4}-20.22754{col 68}{space 3} 12.43518
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .9735053{col 27}{space 2} .4125399{col 38}{space 1}    2.36{col 47}{space 3}0.018{col 55}{space 4} .1649419{col 68}{space 3} 1.782069
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}-.0398898{col 27}{space 2} .0389714{col 38}{space 1}   -1.02{col 47}{space 3}0.306{col 55}{space 4}-.1162723{col 68}{space 3} .0364927
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0259642{col 27}{space 2} .0360551{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-.0447025{col 68}{space 3}  .096631
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0729885{col 27}{space 2} .0434145{col 38}{space 1}    1.68{col 47}{space 3}0.093{col 55}{space 4}-.0121024{col 68}{space 3} .1580793
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.3377232{col 27}{space 2} .3025619{col 38}{space 1}   -1.12{col 47}{space 3}0.264{col 55}{space 4}-.9307336{col 68}{space 3} .2552873
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1552729{col 27}{space 2} .0899113{col 38}{space 1}   -1.73{col 47}{space 3}0.084{col 55}{space 4}-.3314958{col 68}{space 3}   .02095
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.5055255{col 27}{space 2}  .519895{col 38}{space 1}   -0.97{col 47}{space 3}0.331{col 55}{space 4}-1.524501{col 68}{space 3} .5134499
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-6.353458{col 27}{space 2} 1.944165{col 38}{space 1}   -3.27{col 47}{space 3}0.001{col 55}{space 4}-10.16395{col 68}{space 3}-2.542964
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table30 , word label title(Table 30: Additive vs. Shared Ideology) bdec(3)
{txt}{stata `"shellout using `"Table30.rtf"'"':Table30.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table30.txt", label"':seeout}

{com}. 
. 
. 
. ****Table 31****
. *Models 1 and 2*
. heckprob imposition AddFinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=AddFinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-470.56976}  
Iteration 2:{space 3}log pseudolikelihood = {res:-470.27725}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.27722}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4635.4997}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3567.6086}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3546.0978}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3545.9174}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3545.9173}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-568.38069}  
Iteration 1:{space 3}log pseudolikelihood = {res:-466.63728}  
Iteration 2:{space 3}log pseudolikelihood = {res:-466.09517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-466.09443}  
Iteration 4:{space 3}log pseudolikelihood = {res:-466.09443}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4012.7879}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4012.0554}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4012.0448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4012.0448}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   429382
{txt}                                                Censored obs       = {res}   428562
                                                {txt}Uncensored obs     = {res}      820

                                                {txt}Wald chi2({res}14{txt})      = {res}   101.50
{txt}Log pseudolikelihood = {res}-4012.045                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 5}AddFinOpen {c |}{col 17}{res}{space 2} .0046481{col 29}{space 2} .0026933{col 40}{space 1}    1.73{col 49}{space 3}0.084{col 57}{space 4}-.0006306{col 70}{space 3} .0099268
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2793923{col 29}{space 2}  .477958{col 40}{space 1}    0.58{col 49}{space 3}0.559{col 57}{space 4}-.6573881{col 70}{space 3} 1.216173
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.6544173{col 29}{space 2} .5309563{col 40}{space 1}   -1.23{col 49}{space 3}0.218{col 57}{space 4}-1.695073{col 70}{space 3} .3862381
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .1836519{col 29}{space 2}  .139169{col 40}{space 1}    1.32{col 49}{space 3}0.187{col 57}{space 4}-.0891143{col 70}{space 3} .4564181
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7549348{col 29}{space 2}  .193507{col 40}{space 1}   -3.90{col 49}{space 3}0.000{col 57}{space 4}-1.134202{col 70}{space 3} -.375668
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6538494{col 29}{space 2} .2702365{col 40}{space 1}    2.42{col 49}{space 3}0.016{col 57}{space 4} .1241955{col 70}{space 3} 1.183503
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} .9484859{col 29}{space 2} 5.042373{col 40}{space 1}    0.19{col 49}{space 3}0.851{col 57}{space 4}-8.934384{col 70}{space 3} 10.83136
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.233066{col 29}{space 2} .2641357{col 40}{space 1}    4.67{col 49}{space 3}0.000{col 57}{space 4}   .71537{col 70}{space 3} 1.750763
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0021675{col 29}{space 2} .0169097{col 40}{space 1}   -0.13{col 49}{space 3}0.898{col 57}{space 4}-.0353098{col 70}{space 3} .0309748
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0298339{col 29}{space 2} .0159571{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0014415{col 70}{space 3} .0611092
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0192919{col 29}{space 2} .0199086{col 40}{space 1}    0.97{col 49}{space 3}0.333{col 57}{space 4}-.0197282{col 70}{space 3}  .058312
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0106373{col 29}{space 2} .1667611{col 40}{space 1}    0.06{col 49}{space 3}0.949{col 57}{space 4}-.3162085{col 70}{space 3} .3374831
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0897084{col 29}{space 2} .0394055{col 40}{space 1}   -2.28{col 49}{space 3}0.023{col 57}{space 4}-.1669418{col 70}{space 3} -.012475
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .2859074{col 29}{space 2} .2699571{col 40}{space 1}    1.06{col 49}{space 3}0.290{col 57}{space 4}-.2431987{col 70}{space 3} .8150136
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.074353{col 29}{space 2} 1.100541{col 40}{space 1}   -3.70{col 49}{space 3}0.000{col 57}{space 4}-6.231373{col 70}{space 3}-1.917333
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 5}AddFinOpen {c |}{col 17}{res}{space 2}  .004636{col 29}{space 2} .0009743{col 40}{space 1}    4.76{col 49}{space 3}0.000{col 57}{space 4} .0027263{col 70}{space 3} .0065456
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1290252{col 29}{space 2} .1625446{col 40}{space 1}    0.79{col 49}{space 3}0.427{col 57}{space 4}-.1895564{col 70}{space 3} .4476069
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0259576{col 29}{space 2} .1988542{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.3637894{col 70}{space 3} .4157046
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0719454{col 29}{space 2} .0661418{col 40}{space 1}   -1.09{col 49}{space 3}0.277{col 57}{space 4}-.2015809{col 70}{space 3} .0576901
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2565077{col 29}{space 2} .1329989{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-.5171807{col 70}{space 3} .0041654
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .9071285{col 29}{space 2} .1350425{col 40}{space 1}    6.72{col 49}{space 3}0.000{col 57}{space 4}   .64245{col 70}{space 3} 1.171807
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 8.280665{col 29}{space 2} 2.702098{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4} 2.984649{col 70}{space 3} 13.57668
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.794638{col 29}{space 2} .1391869{col 40}{space 1}   12.89{col 49}{space 3}0.000{col 57}{space 4} 1.521836{col 70}{space 3} 2.067439
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0003567{col 29}{space 2} .0060191{col 40}{space 1}    0.06{col 49}{space 3}0.953{col 57}{space 4}-.0114405{col 70}{space 3} .0121539
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0039084{col 29}{space 2} .0060996{col 40}{space 1}    0.64{col 49}{space 3}0.522{col 57}{space 4}-.0080466{col 70}{space 3} .0158634
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0063585{col 29}{space 2} .0104034{col 40}{space 1}   -0.61{col 49}{space 3}0.541{col 57}{space 4}-.0267489{col 70}{space 3} .0140319
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2303247{col 29}{space 2} .0845332{col 40}{space 1}    2.72{col 49}{space 3}0.006{col 57}{space 4} .0646425{col 70}{space 3} .3960068
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0106446{col 29}{space 2} .0182121{col 40}{space 1}   -0.58{col 49}{space 3}0.559{col 57}{space 4}-.0463397{col 70}{space 3} .0250505
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.148045{col 29}{space 2} .1718438{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4} .8112373{col 70}{space 3} 1.484853
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2484398{col 29}{space 2} .0207812{col 40}{space 1}  -11.96{col 49}{space 3}0.000{col 57}{space 4}-.2891703{col 70}{space 3}-.2077093
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0153408{col 29}{space 2} .0015928{col 40}{space 1}    9.63{col 49}{space 3}0.000{col 57}{space 4} .0122189{col 70}{space 3} .0184627
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002849{col 29}{space 2} .0000348{col 40}{space 1}   -8.19{col 49}{space 3}0.000{col 57}{space 4} -.000353{col 70}{space 3}-.0002167
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.795268{col 29}{space 2} .5022647{col 40}{space 1}  -11.54{col 49}{space 3}0.000{col 57}{space 4}-6.779689{col 70}{space 3}-4.810847
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4350641{col 29}{space 2} .1653344{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .1110146{col 70}{space 3} .7591137
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4095448{col 29}{space 2} .1376034{col 57}{space 4} .1105607{col 70}{space 3} .6405546
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    6.92   {txt}Prob > chi2 = {res}0.0085
{txt}
{com}. outreg2 using Table31 , word label title(Table 31: Additive Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table31.rtf"'"':Table31.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table31.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat AddFinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}AddFinOpen {c |}{col 17}{res}{space 2} .0104298{col 29}{space 2} .0032965{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0039688{col 70}{space 3} .0168908
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table31 , word label title(Table 31: Additive Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table31.rtf"'"':Table31.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table31.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition AddFinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 79:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}AddFinOpen {c |}{col 15}{res}{space 2} .0070939{col 27}{space 2} .0050214{col 38}{space 1}    1.41{col 47}{space 3}0.158{col 55}{space 4} -.002748{col 68}{space 3} .0169357
{txt}{space 10}BIT {c |}{col 15}{res}{space 2} .4275526{col 27}{space 2} .8693273{col 38}{space 1}    0.49{col 47}{space 3}0.623{col 55}{space 4}-1.276298{col 68}{space 3} 2.131403
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.9798665{col 27}{space 2} 1.015124{col 38}{space 1}   -0.97{col 47}{space 3}0.334{col 55}{space 4}-2.969472{col 68}{space 3} 1.009739
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .3753994{col 27}{space 2} .2521859{col 38}{space 1}    1.49{col 47}{space 3}0.137{col 55}{space 4}-.1188759{col 68}{space 3} .8696747
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.190148{col 27}{space 2} .3708312{col 38}{space 1}   -3.21{col 47}{space 3}0.001{col 55}{space 4}-1.916963{col 68}{space 3}-.4633318
{txt}igomember_log {c |}{col 15}{res}{space 2} .7059248{col 27}{space 2}  .498719{col 38}{space 1}    1.42{col 47}{space 3}0.157{col 55}{space 4}-.2715464{col 68}{space 3} 1.683396
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-3.772381{col 27}{space 2} 8.186279{col 38}{space 1}   -0.46{col 47}{space 3}0.645{col 55}{space 4}-19.81719{col 68}{space 3} 12.27243
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .9689663{col 27}{space 2}   .38466{col 38}{space 1}    2.52{col 47}{space 3}0.012{col 55}{space 4} .2150466{col 68}{space 3} 1.722886
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2}  -.00446{col 27}{space 2} .0312311{col 38}{space 1}   -0.14{col 47}{space 3}0.886{col 55}{space 4}-.0656718{col 68}{space 3} .0567518
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0483796{col 27}{space 2} .0311771{col 38}{space 1}    1.55{col 47}{space 3}0.121{col 55}{space 4}-.0127264{col 68}{space 3} .1094856
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0442661{col 27}{space 2} .0387541{col 38}{space 1}    1.14{col 47}{space 3}0.253{col 55}{space 4}-.0316906{col 68}{space 3} .1202228
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0737894{col 27}{space 2} .2980435{col 38}{space 1}   -0.25{col 47}{space 3}0.804{col 55}{space 4}-.6579439{col 68}{space 3} .5103651
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1529983{col 27}{space 2} .0720902{col 38}{space 1}   -2.12{col 47}{space 3}0.034{col 55}{space 4}-.2942925{col 68}{space 3}-.0117042
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2555315{col 27}{space 2}  .459411{col 38}{space 1}   -0.56{col 47}{space 3}0.578{col 55}{space 4} -1.15596{col 68}{space 3} .6448975
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.364009{col 27}{space 2} 1.871292{col 38}{space 1}   -1.80{col 47}{space 3}0.072{col 55}{space 4}-7.031674{col 68}{space 3} .3036558
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table31 , word label title(Table 31: Additive Financial Openness) bdec(3)
{txt}{stata `"shellout using `"Table31.rtf"'"':Table31.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication"' :dir}{com} : {txt}{stata `"seeout using "Table31.txt", label"':seeout}

{com}. 
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{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA\FPA Publication\Supplemental Appendix Models.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}16 Jan 2017, 21:42:34
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{txt}{sf}{ul off}